diff --git a/offers/insurance-grounded-bilingual-20260223_041209/insurance-grounded-qa-fine-tuning-bilingual-65001-20260223041145_enriched.csv b/offers/insurance-grounded-bilingual-20260223_041209/insurance-grounded-qa-fine-tuning-bilingual-65001-20260223041145_enriched.csv
new file mode 100644
index 0000000000000000000000000000000000000000..616e90e1f51289134fe6f17c824fb95242da9fcc
--- /dev/null
+++ b/offers/insurance-grounded-bilingual-20260223_041209/insurance-grounded-qa-fine-tuning-bilingual-65001-20260223041145_enriched.csv
@@ -0,0 +1,10001 @@
+id,prompt,theme,style,quality_hint,created_at,quality_row_score,quality_row_flags
+1,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1-424869.",insurance grounded-qa fine-tuning instruction bilingual,minimal,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+2,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2-569305.",insurance grounded-qa fine-tuning instruction bilingual,clean,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+3,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3-251711.",insurance grounded-qa fine-tuning instruction bilingual,detailed,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+4,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4-114456.",insurance grounded-qa fine-tuning instruction bilingual,minimal,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+5,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5-593874.",insurance grounded-qa fine-tuning instruction bilingual,detailed,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+6,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6-928514.",insurance grounded-qa fine-tuning instruction bilingual,minimal,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+7,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: BILINGUAL; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7-422224.",insurance grounded-qa fine-tuning instruction bilingual,stylized,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+8,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8-683467.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+9,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9-310971.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+10,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 10-518417.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+11,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: data scientist; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 11-150809.",insurance grounded-qa fine-tuning instruction bilingual,detailed,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+12,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; 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: 12-119062.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+13,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 13-214364.",insurance grounded-qa fine-tuning instruction bilingual,clean,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+14,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: data scientist; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 14-178376.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+15,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: data scientist; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 15-151101.",insurance grounded-qa fine-tuning instruction bilingual,clean,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+16,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: data scientist; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 16-931686.",insurance grounded-qa fine-tuning instruction bilingual,clean,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+17,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 17-349943.",insurance grounded-qa fine-tuning instruction bilingual,stylized,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+18,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: data scientist; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 18-954766.",insurance grounded-qa fine-tuning instruction bilingual,stylized,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+19,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: data scientist; Task: benchmarking; Format: long-context; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 19-913367.",insurance grounded-qa fine-tuning instruction bilingual,detailed,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+20,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 20-606306.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+21,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 21-658318.",insurance grounded-qa fine-tuning instruction bilingual,stylized,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+22,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 22-785679.",insurance grounded-qa fine-tuning instruction bilingual,detailed,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+23,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 23-846582.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+24,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 24-189162.",insurance grounded-qa fine-tuning instruction bilingual,stylized,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+25,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 25-303428.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+26,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 26-618006.",insurance grounded-qa fine-tuning instruction bilingual,detailed,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+27,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; 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: 27-920629.",insurance grounded-qa fine-tuning instruction bilingual,stylized,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+28,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 28-585297.",insurance grounded-qa fine-tuning instruction bilingual,minimal,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+29,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: platform engineer; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 29-323725.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+30,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; 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: 30-927173.",insurance grounded-qa fine-tuning instruction bilingual,minimal,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+31,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ml engineer; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 31-435014.",insurance grounded-qa fine-tuning instruction bilingual,clean,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+32,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: platform engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 32-310935.",insurance grounded-qa fine-tuning instruction bilingual,clean,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+33,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 33-737719.",insurance grounded-qa fine-tuning instruction bilingual,clean,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+34,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 34-542783.",insurance grounded-qa fine-tuning instruction bilingual,clean,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+35,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; 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: 35-184131.",insurance grounded-qa fine-tuning instruction bilingual,minimal,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+36,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 36-873794.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+37,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 37-649372.",insurance grounded-qa fine-tuning instruction bilingual,minimal,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+38,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 38-120296.",insurance grounded-qa fine-tuning instruction bilingual,clean,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+39,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 39-976838.",insurance grounded-qa fine-tuning instruction bilingual,detailed,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+40,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: BILINGUAL; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 40-161577.",insurance grounded-qa fine-tuning instruction bilingual,minimal,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+41,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 41-634622.",insurance grounded-qa fine-tuning instruction bilingual,detailed,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+42,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 42-817027.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+43,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: BILINGUAL; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 43-446045.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+44,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: BILINGUAL; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 44-722117.",insurance grounded-qa fine-tuning instruction bilingual,clean,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+45,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 45-520519.",insurance grounded-qa fine-tuning instruction bilingual,detailed,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+46,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; 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: 46-565327.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+47,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 47-270397.",insurance grounded-qa fine-tuning instruction bilingual,stylized,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+48,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 48-327875.",insurance grounded-qa fine-tuning instruction bilingual,detailed,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+49,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-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: 49-712971.",insurance grounded-qa fine-tuning instruction bilingual,detailed,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+50,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 50-653662.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+51,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 51-794307.",insurance grounded-qa fine-tuning instruction bilingual,clean,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+52,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 52-884083.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+53,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-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: 53-126449.",insurance grounded-qa fine-tuning instruction bilingual,detailed,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+54,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 54-398776.",insurance grounded-qa fine-tuning instruction bilingual,stylized,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+55,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; 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: 55-390500.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+56,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-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: 56-926834.",insurance grounded-qa fine-tuning instruction bilingual,detailed,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+57,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 57-743115.",insurance grounded-qa fine-tuning instruction bilingual,minimal,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+58,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 58-398229.",insurance grounded-qa fine-tuning instruction bilingual,minimal,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+59,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 59-545350.",insurance grounded-qa fine-tuning instruction bilingual,stylized,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+60,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 60-941749.",insurance grounded-qa fine-tuning instruction bilingual,minimal,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+61,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 61-875638.",insurance grounded-qa fine-tuning instruction bilingual,clean,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+62,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-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: 62-714826.",insurance grounded-qa fine-tuning instruction bilingual,clean,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+63,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 63-230391.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+64,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; 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: 64-868200.",insurance grounded-qa fine-tuning instruction bilingual,clean,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+65,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 65-241453.",insurance grounded-qa fine-tuning instruction bilingual,clean,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+66,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 66-193046.",insurance grounded-qa fine-tuning instruction bilingual,minimal,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+67,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 67-852549.",insurance grounded-qa fine-tuning instruction bilingual,detailed,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+68,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 68-548255.",insurance grounded-qa fine-tuning instruction bilingual,minimal,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+69,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ai researcher; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 69-165945.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+70,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: data scientist; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 70-699515.",insurance grounded-qa fine-tuning instruction bilingual,stylized,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+71,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-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: 71-214224.",insurance grounded-qa fine-tuning instruction bilingual,clean,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+72,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 72-561767.",insurance grounded-qa fine-tuning instruction bilingual,minimal,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+73,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 73-862904.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+74,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; 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: 74-308583.",insurance grounded-qa fine-tuning instruction bilingual,minimal,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+75,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 75-808813.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+76,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-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: 76-460620.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+77,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 77-494806.",insurance grounded-qa fine-tuning instruction bilingual,stylized,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+78,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 78-112663.",insurance grounded-qa fine-tuning instruction bilingual,detailed,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+79,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ml engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 79-402970.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+80,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 80-791852.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+81,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; 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: 81-452561.",insurance grounded-qa fine-tuning instruction bilingual,clean,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+82,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 82-379803.",insurance grounded-qa fine-tuning instruction bilingual,minimal,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+83,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 83-736454.",insurance grounded-qa fine-tuning instruction bilingual,stylized,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+84,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: BILINGUAL; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 84-115572.",insurance grounded-qa fine-tuning instruction bilingual,clean,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+85,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 85-437752.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+86,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 86-565544.",insurance grounded-qa fine-tuning instruction bilingual,clean,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+87,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 87-829351.",insurance grounded-qa fine-tuning instruction bilingual,stylized,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+88,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 88-658156.",insurance grounded-qa fine-tuning instruction bilingual,detailed,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+89,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 89-444062.",insurance grounded-qa fine-tuning instruction bilingual,minimal,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+90,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 90-713524.",insurance grounded-qa fine-tuning instruction bilingual,stylized,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+91,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; 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: 91-247149.",insurance grounded-qa fine-tuning instruction bilingual,minimal,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+92,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 92-938532.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+93,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 93-869459.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+94,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 94-194102.",insurance grounded-qa fine-tuning instruction bilingual,clean,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+95,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 95-238719.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+96,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 96-984475.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+97,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 97-124178.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+98,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ai researcher; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 98-982375.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+99,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 99-710858.",insurance grounded-qa fine-tuning instruction bilingual,minimal,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+100,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 100-717907.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+101,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 101-714975.",insurance grounded-qa fine-tuning instruction bilingual,stylized,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+102,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 102-903553.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+103,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 103-351748.",insurance grounded-qa fine-tuning instruction bilingual,stylized,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+104,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 104-661356.",insurance grounded-qa fine-tuning instruction bilingual,stylized,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+105,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ai researcher; Task: quality-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 105-610459.",insurance grounded-qa fine-tuning instruction bilingual,clean,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+106,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-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: 106-807782.",insurance grounded-qa fine-tuning instruction bilingual,minimal,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+107,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 107-151309.",insurance grounded-qa fine-tuning instruction bilingual,clean,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+108,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 108-288695.",insurance grounded-qa fine-tuning instruction bilingual,stylized,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+109,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 109-747833.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+110,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 110-657814.",insurance grounded-qa fine-tuning instruction bilingual,clean,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+111,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: BILINGUAL; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 111-577706.",insurance grounded-qa fine-tuning instruction bilingual,detailed,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+112,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 112-646669.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+113,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; 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: 113-391342.",insurance grounded-qa fine-tuning instruction bilingual,detailed,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+114,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 114-185851.",insurance grounded-qa fine-tuning instruction bilingual,stylized,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+115,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: BILINGUAL; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 115-154380.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+116,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: platform engineer; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 116-937704.",insurance grounded-qa fine-tuning instruction bilingual,clean,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+117,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 117-694464.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+118,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: data scientist; Task: grounding-check; Format: long-context; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 118-342418.",insurance grounded-qa fine-tuning instruction bilingual,detailed,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+119,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-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: 119-899366.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+120,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 120-473647.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+121,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 121-208590.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+122,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 122-573454.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+123,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: BILINGUAL; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 123-179623.",insurance grounded-qa fine-tuning instruction bilingual,minimal,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+124,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 124-329145.",insurance grounded-qa fine-tuning instruction bilingual,minimal,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+125,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; 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: 125-570796.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+126,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 126-603036.",insurance grounded-qa fine-tuning instruction bilingual,clean,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+127,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 127-109634.",insurance grounded-qa fine-tuning instruction bilingual,minimal,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+128,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 128-939648.",insurance grounded-qa fine-tuning instruction bilingual,minimal,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+129,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 129-992845.",insurance grounded-qa fine-tuning instruction bilingual,detailed,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+130,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; 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: 130-124600.",insurance grounded-qa fine-tuning instruction bilingual,minimal,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+131,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 131-794384.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+132,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 132-274292.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+133,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 133-804300.",insurance grounded-qa fine-tuning instruction bilingual,detailed,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+134,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 134-261339.",insurance grounded-qa fine-tuning instruction bilingual,detailed,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+135,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 135-903582.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+136,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 136-109332.",insurance grounded-qa fine-tuning instruction bilingual,detailed,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+137,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 137-655294.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+138,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-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: 138-261330.",insurance grounded-qa fine-tuning instruction bilingual,clean,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+139,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: platform engineer; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 139-664824.",insurance grounded-qa fine-tuning instruction bilingual,minimal,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+140,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 140-836749.",insurance grounded-qa fine-tuning instruction bilingual,minimal,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+141,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 141-164046.",insurance grounded-qa fine-tuning instruction bilingual,clean,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+142,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; 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: 142-492256.",insurance grounded-qa fine-tuning instruction bilingual,detailed,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+143,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 143-803087.",insurance grounded-qa fine-tuning instruction bilingual,detailed,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+144,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 144-910048.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+145,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 145-844226.",insurance grounded-qa fine-tuning instruction bilingual,minimal,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+146,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-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: 146-379086.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+147,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: data scientist; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 147-969857.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+148,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: data scientist; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 148-729172.",insurance grounded-qa fine-tuning instruction bilingual,detailed,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+149,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 149-125288.",insurance grounded-qa fine-tuning instruction bilingual,detailed,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+150,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 150-450779.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+151,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 151-509966.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+152,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-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: 152-735345.",insurance grounded-qa fine-tuning instruction bilingual,clean,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+153,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 153-600006.",insurance grounded-qa fine-tuning instruction bilingual,clean,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+154,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 154-803968.",insurance grounded-qa fine-tuning instruction bilingual,clean,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+155,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 155-974889.",insurance grounded-qa fine-tuning instruction bilingual,clean,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+156,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-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: 156-461919.",insurance grounded-qa fine-tuning instruction bilingual,clean,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+157,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 157-114664.",insurance grounded-qa fine-tuning instruction bilingual,detailed,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+158,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-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: 158-282288.",insurance grounded-qa fine-tuning instruction bilingual,minimal,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+159,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; 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: 159-454857.",insurance grounded-qa fine-tuning instruction bilingual,detailed,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+160,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: data scientist; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 160-215507.",insurance grounded-qa fine-tuning instruction bilingual,clean,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+161,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-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: 161-760663.",insurance grounded-qa fine-tuning instruction bilingual,detailed,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+162,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-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: 162-428890.",insurance grounded-qa fine-tuning instruction bilingual,clean,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+163,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 163-649290.",insurance grounded-qa fine-tuning instruction bilingual,minimal,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+164,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 164-631859.",insurance grounded-qa fine-tuning instruction bilingual,clean,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+165,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 165-669437.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+166,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 166-180708.",insurance grounded-qa fine-tuning instruction bilingual,detailed,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+167,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-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: 167-301091.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+168,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 168-796171.",insurance grounded-qa fine-tuning instruction bilingual,minimal,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+169,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 169-154564.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+170,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 170-526348.",insurance grounded-qa fine-tuning instruction bilingual,minimal,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+171,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 171-493075.",insurance grounded-qa fine-tuning instruction bilingual,detailed,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+172,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; 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: 172-511886.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+173,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ml engineer; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 173-282121.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+174,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; 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: 174-741811.",insurance grounded-qa fine-tuning instruction bilingual,detailed,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+175,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 175-236119.",insurance grounded-qa fine-tuning instruction bilingual,minimal,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+176,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 176-478984.",insurance grounded-qa fine-tuning instruction bilingual,clean,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+177,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: platform engineer; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 177-597630.",insurance grounded-qa fine-tuning instruction bilingual,stylized,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+178,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 178-883652.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+179,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-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: 179-406092.",insurance grounded-qa fine-tuning instruction bilingual,detailed,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+180,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 180-558395.",insurance grounded-qa fine-tuning instruction bilingual,clean,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+181,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-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: 181-775466.",insurance grounded-qa fine-tuning instruction bilingual,detailed,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+182,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 182-291674.",insurance grounded-qa fine-tuning instruction bilingual,stylized,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+183,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 183-643812.",insurance grounded-qa fine-tuning instruction bilingual,stylized,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+184,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 184-352206.",insurance grounded-qa fine-tuning instruction bilingual,clean,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+185,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 185-770595.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+186,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; 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: 186-410199.",insurance grounded-qa fine-tuning instruction bilingual,clean,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+187,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; 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: 187-413688.",insurance grounded-qa fine-tuning instruction bilingual,clean,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+188,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; 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: 188-373744.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+189,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 189-312931.",insurance grounded-qa fine-tuning instruction bilingual,stylized,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+190,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 190-976382.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+191,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 191-881535.",insurance grounded-qa fine-tuning instruction bilingual,minimal,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+192,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 192-128612.",insurance grounded-qa fine-tuning instruction bilingual,stylized,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+193,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 193-882880.",insurance grounded-qa fine-tuning instruction bilingual,minimal,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+194,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 194-210530.",insurance grounded-qa fine-tuning instruction bilingual,minimal,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+195,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 195-798545.",insurance grounded-qa fine-tuning instruction bilingual,stylized,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+196,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 196-195651.",insurance grounded-qa fine-tuning instruction bilingual,minimal,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+197,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 197-186780.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+198,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 198-340784.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+199,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 199-102211.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+200,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 200-127650.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+201,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 201-381067.",insurance grounded-qa fine-tuning instruction bilingual,clean,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+202,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 202-922316.",insurance grounded-qa fine-tuning instruction bilingual,clean,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+203,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 203-749547.",insurance grounded-qa fine-tuning instruction bilingual,stylized,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+204,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: platform engineer; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 204-152629.",insurance grounded-qa fine-tuning instruction bilingual,stylized,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+205,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 205-323684.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+206,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 206-648306.",insurance grounded-qa fine-tuning instruction bilingual,clean,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+207,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 207-714215.",insurance grounded-qa fine-tuning instruction bilingual,detailed,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+208,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: data scientist; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 208-600319.",insurance grounded-qa fine-tuning instruction bilingual,minimal,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+209,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; 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: 209-954625.",insurance grounded-qa fine-tuning instruction bilingual,clean,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+210,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 210-210592.",insurance grounded-qa fine-tuning instruction bilingual,minimal,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+211,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 211-481901.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+212,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 212-753619.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+213,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 213-356851.",insurance grounded-qa fine-tuning instruction bilingual,stylized,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+214,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; 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: 214-819976.",insurance grounded-qa fine-tuning instruction bilingual,stylized,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+215,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 215-998875.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+216,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 216-641493.",insurance grounded-qa fine-tuning instruction bilingual,detailed,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+217,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-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: 217-411019.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+218,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 218-361232.",insurance grounded-qa fine-tuning instruction bilingual,clean,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+219,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; 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: 219-910593.",insurance grounded-qa fine-tuning instruction bilingual,minimal,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+220,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 220-957376.",insurance grounded-qa fine-tuning instruction bilingual,minimal,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+221,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: data scientist; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 221-337606.",insurance grounded-qa fine-tuning instruction bilingual,stylized,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+222,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 222-744953.",insurance grounded-qa fine-tuning instruction bilingual,clean,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+223,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 223-883757.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+224,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 224-639946.",insurance grounded-qa fine-tuning instruction bilingual,minimal,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+225,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; 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: 225-378001.",insurance grounded-qa fine-tuning instruction bilingual,stylized,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+226,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: BILINGUAL; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 226-372022.",insurance grounded-qa fine-tuning instruction bilingual,stylized,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+227,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; 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: 227-913068.",insurance grounded-qa fine-tuning instruction bilingual,minimal,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+228,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 228-448217.",insurance grounded-qa fine-tuning instruction bilingual,stylized,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+229,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: BILINGUAL; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 229-989718.",insurance grounded-qa fine-tuning instruction bilingual,minimal,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+230,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ml engineer; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 230-944723.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+231,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-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: 231-366072.",insurance grounded-qa fine-tuning instruction bilingual,detailed,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+232,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 232-946254.",insurance grounded-qa fine-tuning instruction bilingual,minimal,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+233,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; 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: 233-282761.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+234,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; 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: 234-729758.",insurance grounded-qa fine-tuning instruction bilingual,detailed,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+235,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 235-756340.",insurance grounded-qa fine-tuning instruction bilingual,clean,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+236,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 236-361469.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+237,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 237-321911.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+238,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 238-366914.",insurance grounded-qa fine-tuning instruction bilingual,detailed,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+239,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 239-709805.",insurance grounded-qa fine-tuning instruction bilingual,stylized,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+240,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 240-164106.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+241,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 241-949907.",insurance grounded-qa fine-tuning instruction bilingual,detailed,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+242,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: BILINGUAL; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 242-661304.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+243,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 243-924259.",insurance grounded-qa fine-tuning instruction bilingual,stylized,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+244,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 244-154064.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+245,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 245-233036.",insurance grounded-qa fine-tuning instruction bilingual,stylized,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+246,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ml engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 246-955520.",insurance grounded-qa fine-tuning instruction bilingual,minimal,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+247,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 247-652131.",insurance grounded-qa fine-tuning instruction bilingual,clean,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+248,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; 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: 248-734136.",insurance grounded-qa fine-tuning instruction bilingual,stylized,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+249,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 249-431923.",insurance grounded-qa fine-tuning instruction bilingual,stylized,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+250,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 250-436546.",insurance grounded-qa fine-tuning instruction bilingual,clean,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+251,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: BILINGUAL; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 251-810928.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+252,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 252-165321.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+253,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 253-806731.",insurance grounded-qa fine-tuning instruction bilingual,detailed,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+254,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 254-535479.",insurance grounded-qa fine-tuning instruction bilingual,detailed,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+255,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-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: 255-375362.",insurance grounded-qa fine-tuning instruction bilingual,stylized,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+256,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 256-763359.",insurance grounded-qa fine-tuning instruction bilingual,minimal,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+257,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 257-616520.",insurance grounded-qa fine-tuning instruction bilingual,stylized,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+258,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ai researcher; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 258-689525.",insurance grounded-qa fine-tuning instruction bilingual,detailed,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+259,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; 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: 259-598465.",insurance grounded-qa fine-tuning instruction bilingual,clean,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+260,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 260-256585.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+261,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ml engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 261-393832.",insurance grounded-qa fine-tuning instruction bilingual,minimal,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+262,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: data scientist; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 262-730369.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+263,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: platform engineer; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 263-267707.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+264,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: BILINGUAL; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 264-113080.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+265,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 265-711599.",insurance grounded-qa fine-tuning instruction bilingual,clean,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+266,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-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: 266-596188.",insurance grounded-qa fine-tuning instruction bilingual,minimal,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+267,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 267-760982.",insurance grounded-qa fine-tuning instruction bilingual,detailed,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+268,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 268-366525.",insurance grounded-qa fine-tuning instruction bilingual,minimal,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+269,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 269-856256.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+270,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-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: 270-483600.",insurance grounded-qa fine-tuning instruction bilingual,minimal,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+271,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 271-951843.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+272,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 272-887065.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+273,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 273-762764.",insurance grounded-qa fine-tuning instruction bilingual,clean,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+274,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 274-332315.",insurance grounded-qa fine-tuning instruction bilingual,minimal,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+275,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: BILINGUAL; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 275-823267.",insurance grounded-qa fine-tuning instruction bilingual,stylized,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+276,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; 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: 276-504424.",insurance grounded-qa fine-tuning instruction bilingual,minimal,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+277,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-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: 277-157211.",insurance grounded-qa fine-tuning instruction bilingual,detailed,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+278,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 278-414860.",insurance grounded-qa fine-tuning instruction bilingual,minimal,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+279,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 279-121879.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+280,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 280-536709.",insurance grounded-qa fine-tuning instruction bilingual,clean,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+281,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 281-673909.",insurance grounded-qa fine-tuning instruction bilingual,stylized,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+282,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-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: 282-256650.",insurance grounded-qa fine-tuning instruction bilingual,minimal,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+283,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 283-465579.",insurance grounded-qa fine-tuning instruction bilingual,clean,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+284,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 284-271947.",insurance grounded-qa fine-tuning instruction bilingual,minimal,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+285,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: data scientist; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 285-541838.",insurance grounded-qa fine-tuning instruction bilingual,minimal,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+286,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-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: 286-457888.",insurance grounded-qa fine-tuning instruction bilingual,clean,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+287,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 287-398828.",insurance grounded-qa fine-tuning instruction bilingual,minimal,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+288,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 288-917919.",insurance grounded-qa fine-tuning instruction bilingual,detailed,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+289,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 289-322000.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+290,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-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: 290-568313.",insurance grounded-qa fine-tuning instruction bilingual,clean,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+291,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; 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: 291-492240.",insurance grounded-qa fine-tuning instruction bilingual,detailed,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+292,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 292-285975.",insurance grounded-qa fine-tuning instruction bilingual,detailed,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+293,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 293-933608.",insurance grounded-qa fine-tuning instruction bilingual,detailed,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+294,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; 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: 294-804683.",insurance grounded-qa fine-tuning instruction bilingual,detailed,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+295,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 295-881783.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+296,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 296-802993.",insurance grounded-qa fine-tuning instruction bilingual,stylized,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+297,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 297-532947.",insurance grounded-qa fine-tuning instruction bilingual,detailed,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+298,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 298-312862.",insurance grounded-qa fine-tuning instruction bilingual,stylized,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+299,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 299-129358.",insurance grounded-qa fine-tuning instruction bilingual,detailed,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+300,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ml engineer; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 300-573473.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+301,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 301-837223.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+302,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ml engineer; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 302-147169.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+303,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: data scientist; Task: grounding-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 303-287832.",insurance grounded-qa fine-tuning instruction bilingual,stylized,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+304,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 304-541400.",insurance grounded-qa fine-tuning instruction bilingual,minimal,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+305,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; 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: 305-870679.",insurance grounded-qa fine-tuning instruction bilingual,stylized,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+306,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 306-902889.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+307,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 307-219593.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+308,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; 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: 308-885957.",insurance grounded-qa fine-tuning instruction bilingual,minimal,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+309,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; 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: 309-163820.",insurance grounded-qa fine-tuning instruction bilingual,stylized,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+310,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 310-159432.",insurance grounded-qa fine-tuning instruction bilingual,detailed,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+311,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; 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: 311-968753.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+312,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 312-309985.",insurance grounded-qa fine-tuning instruction bilingual,stylized,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+313,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 313-958275.",insurance grounded-qa fine-tuning instruction bilingual,stylized,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+314,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 314-932841.",insurance grounded-qa fine-tuning instruction bilingual,clean,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+315,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 315-433544.",insurance grounded-qa fine-tuning instruction bilingual,clean,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+316,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 316-411239.",insurance grounded-qa fine-tuning instruction bilingual,clean,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+317,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-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: 317-772457.",insurance grounded-qa fine-tuning instruction bilingual,minimal,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+318,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ml engineer; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 318-895727.",insurance grounded-qa fine-tuning instruction bilingual,minimal,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+319,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 319-929231.",insurance grounded-qa fine-tuning instruction bilingual,stylized,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+320,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 320-345522.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+321,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 321-852733.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+322,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 322-565128.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+323,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 323-213022.",insurance grounded-qa fine-tuning instruction bilingual,clean,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+324,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; 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: 324-760157.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+325,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 325-768320.",insurance grounded-qa fine-tuning instruction bilingual,stylized,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+326,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: data scientist; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 326-441153.",insurance grounded-qa fine-tuning instruction bilingual,detailed,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+327,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 327-892754.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+328,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 328-498998.",insurance grounded-qa fine-tuning instruction bilingual,clean,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+329,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 329-138631.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+330,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: data scientist; Task: benchmarking; Format: long-context; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 330-172363.",insurance grounded-qa fine-tuning instruction bilingual,minimal,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+331,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 331-967005.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+332,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 332-531534.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+333,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ml engineer; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 333-205012.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+334,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; 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: 334-467855.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+335,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: data scientist; Task: robustness-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 335-832765.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+336,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 336-115222.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+337,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; 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: 337-485481.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+338,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 338-826272.",insurance grounded-qa fine-tuning instruction bilingual,detailed,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+339,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 339-696458.",insurance grounded-qa fine-tuning instruction bilingual,stylized,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+340,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 340-487745.",insurance grounded-qa fine-tuning instruction bilingual,minimal,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+341,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 341-859358.",insurance grounded-qa fine-tuning instruction bilingual,stylized,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+342,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 342-353285.",insurance grounded-qa fine-tuning instruction bilingual,clean,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+343,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 343-579394.",insurance grounded-qa fine-tuning instruction bilingual,detailed,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+344,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 344-996279.",insurance grounded-qa fine-tuning instruction bilingual,clean,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+345,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 345-822448.",insurance grounded-qa fine-tuning instruction bilingual,stylized,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+346,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: data scientist; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 346-601773.",insurance grounded-qa fine-tuning instruction bilingual,minimal,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+347,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 347-745162.",insurance grounded-qa fine-tuning instruction bilingual,detailed,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+348,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: BILINGUAL; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 348-898281.",insurance grounded-qa fine-tuning instruction bilingual,stylized,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+349,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; 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: 349-674148.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+350,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 350-231282.",insurance grounded-qa fine-tuning instruction bilingual,clean,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+351,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: data scientist; Task: robustness-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 351-371898.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+352,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 352-814498.",insurance grounded-qa fine-tuning instruction bilingual,minimal,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+353,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 353-683551.",insurance grounded-qa fine-tuning instruction bilingual,clean,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+354,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ml engineer; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 354-405993.",insurance grounded-qa fine-tuning instruction bilingual,stylized,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+355,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 355-867090.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+356,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 356-422844.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+357,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 357-901528.",insurance grounded-qa fine-tuning instruction bilingual,clean,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+358,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: BILINGUAL; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 358-344676.",insurance grounded-qa fine-tuning instruction bilingual,clean,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+359,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 359-185117.",insurance grounded-qa fine-tuning instruction bilingual,detailed,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+360,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 360-502152.",insurance grounded-qa fine-tuning instruction bilingual,detailed,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+361,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 361-568282.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+362,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; 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: 362-619457.",insurance grounded-qa fine-tuning instruction bilingual,detailed,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+363,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 363-459595.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+364,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 364-592486.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+365,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 365-452070.",insurance grounded-qa fine-tuning instruction bilingual,clean,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+366,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 366-558305.",insurance grounded-qa fine-tuning instruction bilingual,stylized,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+367,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 367-880728.",insurance grounded-qa fine-tuning instruction bilingual,minimal,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+368,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 368-769564.",insurance grounded-qa fine-tuning instruction bilingual,stylized,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+369,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 369-968117.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+370,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; 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: 370-233390.",insurance grounded-qa fine-tuning instruction bilingual,stylized,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+371,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 371-747094.",insurance grounded-qa fine-tuning instruction bilingual,detailed,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+372,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 372-488424.",insurance grounded-qa fine-tuning instruction bilingual,stylized,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+373,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; 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: 373-680779.",insurance grounded-qa fine-tuning instruction bilingual,clean,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+374,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-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: 374-374174.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+375,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 375-630261.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+376,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 376-524713.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+377,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 377-248531.",insurance grounded-qa fine-tuning instruction bilingual,detailed,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+378,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 378-276583.",insurance grounded-qa fine-tuning instruction bilingual,stylized,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+379,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 379-127604.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+380,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 380-491477.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+381,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-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: 381-867110.",insurance grounded-qa fine-tuning instruction bilingual,stylized,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+382,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 382-879386.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+383,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: data scientist; Task: robustness-check; Format: long-context; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 383-518684.",insurance grounded-qa fine-tuning instruction bilingual,minimal,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+384,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; 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: 384-413491.",insurance grounded-qa fine-tuning instruction bilingual,minimal,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+385,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: platform engineer; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 385-234116.",insurance grounded-qa fine-tuning instruction bilingual,detailed,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+386,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: platform engineer; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 386-375187.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+387,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 387-541574.",insurance grounded-qa fine-tuning instruction bilingual,detailed,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+388,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 388-500732.",insurance grounded-qa fine-tuning instruction bilingual,minimal,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+389,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 389-738781.",insurance grounded-qa fine-tuning instruction bilingual,minimal,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+390,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 390-670851.",insurance grounded-qa fine-tuning instruction bilingual,stylized,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+391,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 391-458777.",insurance grounded-qa fine-tuning instruction bilingual,minimal,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+392,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; 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: 392-781912.",insurance grounded-qa fine-tuning instruction bilingual,clean,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+393,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; 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: 393-509350.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+394,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 394-280957.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+395,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 395-765663.",insurance grounded-qa fine-tuning instruction bilingual,detailed,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+396,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: BILINGUAL; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 396-979579.",insurance grounded-qa fine-tuning instruction bilingual,detailed,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+397,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 397-610513.",insurance grounded-qa fine-tuning instruction bilingual,clean,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+398,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; 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: 398-243103.",insurance grounded-qa fine-tuning instruction bilingual,detailed,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+399,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 399-219477.",insurance grounded-qa fine-tuning instruction bilingual,clean,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+400,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 400-894321.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+401,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 401-565579.",insurance grounded-qa fine-tuning instruction bilingual,detailed,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+402,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 402-489489.",insurance grounded-qa fine-tuning instruction bilingual,clean,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+403,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 403-659890.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+404,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 404-648363.",insurance grounded-qa fine-tuning instruction bilingual,clean,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+405,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 405-761750.",insurance grounded-qa fine-tuning instruction bilingual,stylized,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+406,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 406-580879.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+407,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 407-283446.",insurance grounded-qa fine-tuning instruction bilingual,detailed,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+408,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 408-491924.",insurance grounded-qa fine-tuning instruction bilingual,detailed,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+409,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 409-495307.",insurance grounded-qa fine-tuning instruction bilingual,clean,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+410,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 410-212527.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+411,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-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: 411-552328.",insurance grounded-qa fine-tuning instruction bilingual,stylized,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+412,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; 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: 412-519824.",insurance grounded-qa fine-tuning instruction bilingual,clean,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+413,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 413-783748.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+414,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 414-249204.",insurance grounded-qa fine-tuning instruction bilingual,clean,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+415,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 415-888809.",insurance grounded-qa fine-tuning instruction bilingual,stylized,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+416,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-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: 416-245974.",insurance grounded-qa fine-tuning instruction bilingual,clean,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+417,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 417-376638.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+418,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: BILINGUAL; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 418-968353.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+419,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 419-224095.",insurance grounded-qa fine-tuning instruction bilingual,stylized,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+420,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 420-572826.",insurance grounded-qa fine-tuning instruction bilingual,minimal,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+421,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 421-401523.",insurance grounded-qa fine-tuning instruction bilingual,stylized,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+422,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 422-616684.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+423,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: BILINGUAL; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 423-617477.",insurance grounded-qa fine-tuning instruction bilingual,clean,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+424,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: data scientist; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 424-544154.",insurance grounded-qa fine-tuning instruction bilingual,detailed,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+425,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 425-699580.",insurance grounded-qa fine-tuning instruction bilingual,minimal,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+426,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 426-992664.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+427,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 427-442156.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+428,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 428-534366.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+429,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 429-138596.",insurance grounded-qa fine-tuning instruction bilingual,detailed,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+430,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; 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: 430-777966.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+431,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-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: 431-683747.",insurance grounded-qa fine-tuning instruction bilingual,minimal,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+432,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 432-878949.",insurance grounded-qa fine-tuning instruction bilingual,stylized,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+433,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 433-582792.",insurance grounded-qa fine-tuning instruction bilingual,detailed,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+434,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 434-882630.",insurance grounded-qa fine-tuning instruction bilingual,detailed,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+435,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 435-194945.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+436,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 436-832952.",insurance grounded-qa fine-tuning instruction bilingual,clean,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+437,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; 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: 437-650397.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+438,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; 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: 438-677057.",insurance grounded-qa fine-tuning instruction bilingual,detailed,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+439,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 439-324392.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+440,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 440-129828.",insurance grounded-qa fine-tuning instruction bilingual,stylized,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+441,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 441-833834.",insurance grounded-qa fine-tuning instruction bilingual,clean,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+442,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 442-643665.",insurance grounded-qa fine-tuning instruction bilingual,detailed,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+443,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 443-415120.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+444,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-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: 444-663257.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+445,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; 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: 445-204188.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+446,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: BILINGUAL; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 446-524523.",insurance grounded-qa fine-tuning instruction bilingual,detailed,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+447,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 447-136099.",insurance grounded-qa fine-tuning instruction bilingual,detailed,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+448,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: data scientist; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 448-880809.",insurance grounded-qa fine-tuning instruction bilingual,stylized,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+449,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; 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: 449-349712.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+450,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 450-187508.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+451,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 451-735764.",insurance grounded-qa fine-tuning instruction bilingual,minimal,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+452,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ai researcher; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 452-329748.",insurance grounded-qa fine-tuning instruction bilingual,minimal,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+453,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 453-720653.",insurance grounded-qa fine-tuning instruction bilingual,detailed,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+454,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 454-388647.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+455,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: data scientist; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 455-364852.",insurance grounded-qa fine-tuning instruction bilingual,minimal,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+456,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 456-894214.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+457,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 457-545933.",insurance grounded-qa fine-tuning instruction bilingual,minimal,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+458,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 458-338607.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+459,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; 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: 459-745824.",insurance grounded-qa fine-tuning instruction bilingual,detailed,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+460,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 460-131748.",insurance grounded-qa fine-tuning instruction bilingual,stylized,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+461,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ml engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 461-945604.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+462,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 462-337521.",insurance grounded-qa fine-tuning instruction bilingual,detailed,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+463,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 463-625204.",insurance grounded-qa fine-tuning instruction bilingual,stylized,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+464,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: data scientist; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 464-847257.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+465,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 465-839802.",insurance grounded-qa fine-tuning instruction bilingual,stylized,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+466,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: BILINGUAL; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 466-226478.",insurance grounded-qa fine-tuning instruction bilingual,clean,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+467,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 467-935744.",insurance grounded-qa fine-tuning instruction bilingual,minimal,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+468,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 468-909001.",insurance grounded-qa fine-tuning instruction bilingual,clean,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+469,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 469-243547.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+470,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; 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: 470-987412.",insurance grounded-qa fine-tuning instruction bilingual,detailed,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+471,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: data scientist; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 471-370590.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+472,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 472-264881.",insurance grounded-qa fine-tuning instruction bilingual,clean,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+473,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 473-149659.",insurance grounded-qa fine-tuning instruction bilingual,clean,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+474,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 474-976821.",insurance grounded-qa fine-tuning instruction bilingual,minimal,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+475,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; 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: 475-179518.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+476,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 476-769518.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+477,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 477-856656.",insurance grounded-qa fine-tuning instruction bilingual,clean,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+478,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: BILINGUAL; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 478-190602.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+479,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 479-943532.",insurance grounded-qa fine-tuning instruction bilingual,detailed,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+480,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-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: 480-800215.",insurance grounded-qa fine-tuning instruction bilingual,detailed,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+481,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 481-705677.",insurance grounded-qa fine-tuning instruction bilingual,detailed,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+482,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: data scientist; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 482-410891.",insurance grounded-qa fine-tuning instruction bilingual,clean,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+483,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 483-965694.",insurance grounded-qa fine-tuning instruction bilingual,detailed,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+484,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 484-474075.",insurance grounded-qa fine-tuning instruction bilingual,detailed,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+485,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; 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: 485-391098.",insurance grounded-qa fine-tuning instruction bilingual,stylized,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+486,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 486-952631.",insurance grounded-qa fine-tuning instruction bilingual,clean,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+487,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; 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: 487-422200.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+488,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 488-935940.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+489,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 489-734571.",insurance grounded-qa fine-tuning instruction bilingual,stylized,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+490,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; 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: 490-153175.",insurance grounded-qa fine-tuning instruction bilingual,clean,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+491,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 491-884762.",insurance grounded-qa fine-tuning instruction bilingual,stylized,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+492,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: data scientist; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 492-519745.",insurance grounded-qa fine-tuning instruction bilingual,clean,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+493,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; 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: 493-466028.",insurance grounded-qa fine-tuning instruction bilingual,clean,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+494,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 494-728292.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+495,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 495-422210.",insurance grounded-qa fine-tuning instruction bilingual,detailed,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+496,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 496-245311.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+497,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 497-409791.",insurance grounded-qa fine-tuning instruction bilingual,detailed,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+498,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: data scientist; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 498-979138.",insurance grounded-qa fine-tuning instruction bilingual,stylized,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+499,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 499-203228.",insurance grounded-qa fine-tuning instruction bilingual,clean,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+500,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: data scientist; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 500-968790.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+501,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 501-666102.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+502,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 502-375451.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+503,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 503-485769.",insurance grounded-qa fine-tuning instruction bilingual,minimal,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+504,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ml engineer; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 504-667338.",insurance grounded-qa fine-tuning instruction bilingual,minimal,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+505,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 505-323740.",insurance grounded-qa fine-tuning instruction bilingual,clean,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+506,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 506-285331.",insurance grounded-qa fine-tuning instruction bilingual,clean,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+507,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: data scientist; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 507-275457.",insurance grounded-qa fine-tuning instruction bilingual,stylized,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+508,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: data scientist; Task: benchmarking; Format: long-context; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 508-958324.",insurance grounded-qa fine-tuning instruction bilingual,clean,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+509,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 509-137046.",insurance grounded-qa fine-tuning instruction bilingual,minimal,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+510,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 510-591296.",insurance grounded-qa fine-tuning instruction bilingual,minimal,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+511,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 511-267390.",insurance grounded-qa fine-tuning instruction bilingual,minimal,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+512,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 512-218222.",insurance grounded-qa fine-tuning instruction bilingual,minimal,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+513,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-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: 513-491951.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+514,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 514-964510.",insurance grounded-qa fine-tuning instruction bilingual,clean,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+515,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 515-190997.",insurance grounded-qa fine-tuning instruction bilingual,detailed,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+516,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 516-515328.",insurance grounded-qa fine-tuning instruction bilingual,minimal,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+517,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 517-227462.",insurance grounded-qa fine-tuning instruction bilingual,detailed,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+518,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ml engineer; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 518-107276.",insurance grounded-qa fine-tuning instruction bilingual,minimal,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+519,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; 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: 519-705087.",insurance grounded-qa fine-tuning instruction bilingual,stylized,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+520,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 520-718783.",insurance grounded-qa fine-tuning instruction bilingual,detailed,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+521,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; 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: 521-869358.",insurance grounded-qa fine-tuning instruction bilingual,detailed,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+522,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 522-831275.",insurance grounded-qa fine-tuning instruction bilingual,minimal,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+523,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 523-367687.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+524,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 524-301258.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+525,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 525-615326.",insurance grounded-qa fine-tuning instruction bilingual,minimal,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+526,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: data scientist; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 526-563461.",insurance grounded-qa fine-tuning instruction bilingual,clean,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+527,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 527-549379.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+528,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; 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: 528-431163.",insurance grounded-qa fine-tuning instruction bilingual,detailed,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+529,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 529-258717.",insurance grounded-qa fine-tuning instruction bilingual,stylized,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+530,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; 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: 530-952276.",insurance grounded-qa fine-tuning instruction bilingual,clean,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+531,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 531-587998.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+532,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 532-662296.",insurance grounded-qa fine-tuning instruction bilingual,clean,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+533,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 533-349748.",insurance grounded-qa fine-tuning instruction bilingual,stylized,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+534,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 534-805237.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+535,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ml engineer; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 535-175832.",insurance grounded-qa fine-tuning instruction bilingual,detailed,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+536,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 536-248352.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+537,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 537-193239.",insurance grounded-qa fine-tuning instruction bilingual,minimal,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+538,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 538-130746.",insurance grounded-qa fine-tuning instruction bilingual,stylized,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+539,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 539-711029.",insurance grounded-qa fine-tuning instruction bilingual,clean,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+540,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 540-818305.",insurance grounded-qa fine-tuning instruction bilingual,minimal,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+541,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 541-707780.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+542,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 542-505501.",insurance grounded-qa fine-tuning instruction bilingual,minimal,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+543,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; 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: 543-898380.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+544,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 544-695136.",insurance grounded-qa fine-tuning instruction bilingual,stylized,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+545,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; 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: 545-277984.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+546,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; 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: 546-276899.",insurance grounded-qa fine-tuning instruction bilingual,minimal,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+547,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 547-745647.",insurance grounded-qa fine-tuning instruction bilingual,minimal,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+548,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 548-666026.",insurance grounded-qa fine-tuning instruction bilingual,stylized,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+549,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 549-567300.",insurance grounded-qa fine-tuning instruction bilingual,stylized,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+550,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ml engineer; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 550-925345.",insurance grounded-qa fine-tuning instruction bilingual,stylized,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+551,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; 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: 551-247131.",insurance grounded-qa fine-tuning instruction bilingual,clean,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+552,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 552-689576.",insurance grounded-qa fine-tuning instruction bilingual,stylized,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+553,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: data scientist; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 553-844411.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+554,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 554-357218.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+555,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 555-858491.",insurance grounded-qa fine-tuning instruction bilingual,minimal,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+556,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 556-983265.",insurance grounded-qa fine-tuning instruction bilingual,minimal,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+557,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: data scientist; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 557-444472.",insurance grounded-qa fine-tuning instruction bilingual,detailed,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+558,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 558-245178.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+559,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 559-553155.",insurance grounded-qa fine-tuning instruction bilingual,clean,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+560,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 560-245314.",insurance grounded-qa fine-tuning instruction bilingual,clean,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+561,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; 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: 561-333796.",insurance grounded-qa fine-tuning instruction bilingual,stylized,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+562,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 562-965379.",insurance grounded-qa fine-tuning instruction bilingual,detailed,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+563,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 563-389755.",insurance grounded-qa fine-tuning instruction bilingual,stylized,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+564,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 564-365856.",insurance grounded-qa fine-tuning instruction bilingual,clean,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+565,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; 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: 565-659011.",insurance grounded-qa fine-tuning instruction bilingual,detailed,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+566,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 566-205664.",insurance grounded-qa fine-tuning instruction bilingual,clean,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+567,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 567-157184.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+568,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: BILINGUAL; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 568-502096.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+569,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: data scientist; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 569-371763.",insurance grounded-qa fine-tuning instruction bilingual,clean,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+570,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; 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: 570-691328.",insurance grounded-qa fine-tuning instruction bilingual,detailed,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+571,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: data scientist; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 571-373773.",insurance grounded-qa fine-tuning instruction bilingual,stylized,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+572,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 572-963070.",insurance grounded-qa fine-tuning instruction bilingual,minimal,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+573,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: BILINGUAL; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 573-119386.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+574,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 574-779487.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+575,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 575-891417.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+576,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 576-332221.",insurance grounded-qa fine-tuning instruction bilingual,detailed,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+577,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 577-858901.",insurance grounded-qa fine-tuning instruction bilingual,stylized,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+578,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; 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: 578-810890.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+579,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 579-219836.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+580,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 580-535864.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+581,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 581-808046.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+582,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 582-854355.",insurance grounded-qa fine-tuning instruction bilingual,detailed,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+583,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 583-538292.",insurance grounded-qa fine-tuning instruction bilingual,detailed,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+584,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 584-644137.",insurance grounded-qa fine-tuning instruction bilingual,stylized,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+585,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 585-539756.",insurance grounded-qa fine-tuning instruction bilingual,stylized,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+586,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 586-643900.",insurance grounded-qa fine-tuning instruction bilingual,clean,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+587,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: BILINGUAL; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 587-140853.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+588,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; 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: 588-969670.",insurance grounded-qa fine-tuning instruction bilingual,detailed,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+589,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 589-367714.",insurance grounded-qa fine-tuning instruction bilingual,clean,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+590,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: data scientist; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 590-872787.",insurance grounded-qa fine-tuning instruction bilingual,minimal,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+591,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 591-551192.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+592,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: data scientist; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 592-595966.",insurance grounded-qa fine-tuning instruction bilingual,detailed,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+593,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 593-477121.",insurance grounded-qa fine-tuning instruction bilingual,stylized,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+594,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-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: 594-980638.",insurance grounded-qa fine-tuning instruction bilingual,stylized,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+595,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 595-418008.",insurance grounded-qa fine-tuning instruction bilingual,minimal,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+596,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 596-396618.",insurance grounded-qa fine-tuning instruction bilingual,minimal,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+597,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 597-718824.",insurance grounded-qa fine-tuning instruction bilingual,clean,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+598,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-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: 598-390013.",insurance grounded-qa fine-tuning instruction bilingual,stylized,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+599,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 599-835221.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+600,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 600-507518.",insurance grounded-qa fine-tuning instruction bilingual,stylized,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+601,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 601-802874.",insurance grounded-qa fine-tuning instruction bilingual,minimal,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+602,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: data scientist; Task: robustness-check; Format: long-context; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 602-874091.",insurance grounded-qa fine-tuning instruction bilingual,stylized,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+603,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 603-618593.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+604,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 604-265625.",insurance grounded-qa fine-tuning instruction bilingual,stylized,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+605,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 605-866520.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+606,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 606-184589.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+607,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-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: 607-567930.",insurance grounded-qa fine-tuning instruction bilingual,clean,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+608,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 608-899998.",insurance grounded-qa fine-tuning instruction bilingual,minimal,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+609,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: data scientist; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 609-322579.",insurance grounded-qa fine-tuning instruction bilingual,clean,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+610,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: platform engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 610-409958.",insurance grounded-qa fine-tuning instruction bilingual,minimal,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+611,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 611-398486.",insurance grounded-qa fine-tuning instruction bilingual,clean,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+612,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 612-178603.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+613,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 613-513191.",insurance grounded-qa fine-tuning instruction bilingual,detailed,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+614,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 614-949182.",insurance grounded-qa fine-tuning instruction bilingual,clean,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+615,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 615-223973.",insurance grounded-qa fine-tuning instruction bilingual,detailed,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+616,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: BILINGUAL; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 616-682755.",insurance grounded-qa fine-tuning instruction bilingual,clean,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+617,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 617-402299.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+618,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 618-759123.",insurance grounded-qa fine-tuning instruction bilingual,clean,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+619,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 619-362479.",insurance grounded-qa fine-tuning instruction bilingual,stylized,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+620,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 620-234105.",insurance grounded-qa fine-tuning instruction bilingual,detailed,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+621,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; 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: 621-413634.",insurance grounded-qa fine-tuning instruction bilingual,clean,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+622,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 622-220575.",insurance grounded-qa fine-tuning instruction bilingual,clean,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+623,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: BILINGUAL; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 623-180048.",insurance grounded-qa fine-tuning instruction bilingual,minimal,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+624,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: data scientist; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 624-365262.",insurance grounded-qa fine-tuning instruction bilingual,minimal,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+625,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 625-894442.",insurance grounded-qa fine-tuning instruction bilingual,stylized,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+626,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 626-813442.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+627,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; 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: 627-437349.",insurance grounded-qa fine-tuning instruction bilingual,detailed,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+628,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; 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: 628-144613.",insurance grounded-qa fine-tuning instruction bilingual,minimal,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+629,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 629-606425.",insurance grounded-qa fine-tuning instruction bilingual,detailed,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+630,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 630-472534.",insurance grounded-qa fine-tuning instruction bilingual,minimal,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+631,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 631-505498.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+632,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 632-862106.",insurance grounded-qa fine-tuning instruction bilingual,clean,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+633,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; 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: 633-166624.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+634,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 634-466422.",insurance grounded-qa fine-tuning instruction bilingual,detailed,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+635,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 635-986931.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+636,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 636-592124.",insurance grounded-qa fine-tuning instruction bilingual,detailed,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+637,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 637-161830.",insurance grounded-qa fine-tuning instruction bilingual,stylized,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+638,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 638-891691.",insurance grounded-qa fine-tuning instruction bilingual,clean,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+639,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-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: 639-928636.",insurance grounded-qa fine-tuning instruction bilingual,stylized,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+640,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 640-174330.",insurance grounded-qa fine-tuning instruction bilingual,minimal,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+641,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 641-690486.",insurance grounded-qa fine-tuning instruction bilingual,minimal,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+642,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: data scientist; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 642-661777.",insurance grounded-qa fine-tuning instruction bilingual,clean,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+643,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; 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: 643-652491.",insurance grounded-qa fine-tuning instruction bilingual,stylized,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+644,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 644-773396.",insurance grounded-qa fine-tuning instruction bilingual,detailed,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+645,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; 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: 645-240726.",insurance grounded-qa fine-tuning instruction bilingual,detailed,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+646,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 646-234675.",insurance grounded-qa fine-tuning instruction bilingual,clean,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+647,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 647-394790.",insurance grounded-qa fine-tuning instruction bilingual,detailed,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+648,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; 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: 648-941542.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+649,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 649-188635.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+650,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 650-365890.",insurance grounded-qa fine-tuning instruction bilingual,clean,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+651,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 651-724791.",insurance grounded-qa fine-tuning instruction bilingual,minimal,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+652,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 652-890329.",insurance grounded-qa fine-tuning instruction bilingual,stylized,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+653,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 653-735076.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+654,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 654-328195.",insurance grounded-qa fine-tuning instruction bilingual,detailed,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+655,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: BILINGUAL; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 655-259902.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+656,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; 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: 656-482823.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+657,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: BILINGUAL; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 657-598665.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+658,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; 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: 658-455286.",insurance grounded-qa fine-tuning instruction bilingual,clean,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+659,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 659-159980.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+660,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 660-605161.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+661,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 661-192091.",insurance grounded-qa fine-tuning instruction bilingual,stylized,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+662,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 662-532876.",insurance grounded-qa fine-tuning instruction bilingual,stylized,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+663,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 663-244468.",insurance grounded-qa fine-tuning instruction bilingual,detailed,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+664,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 664-325210.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+665,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-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: 665-908008.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+666,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 666-498818.",insurance grounded-qa fine-tuning instruction bilingual,detailed,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+667,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 667-881182.",insurance grounded-qa fine-tuning instruction bilingual,stylized,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+668,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-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: 668-327291.",insurance grounded-qa fine-tuning instruction bilingual,detailed,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+669,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 669-107540.",insurance grounded-qa fine-tuning instruction bilingual,clean,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+670,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ai researcher; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 670-105626.",insurance grounded-qa fine-tuning instruction bilingual,stylized,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+671,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 671-103292.",insurance grounded-qa fine-tuning instruction bilingual,minimal,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+672,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 672-246367.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+673,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 673-951670.",insurance grounded-qa fine-tuning instruction bilingual,clean,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+674,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 674-619888.",insurance grounded-qa fine-tuning instruction bilingual,stylized,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+675,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 675-982711.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+676,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 676-606452.",insurance grounded-qa fine-tuning instruction bilingual,detailed,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+677,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 677-300429.",insurance grounded-qa fine-tuning instruction bilingual,stylized,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+678,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 678-994814.",insurance grounded-qa fine-tuning instruction bilingual,minimal,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+679,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 679-149700.",insurance grounded-qa fine-tuning instruction bilingual,clean,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+680,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; 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: 680-630337.",insurance grounded-qa fine-tuning instruction bilingual,clean,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+681,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 681-382394.",insurance grounded-qa fine-tuning instruction bilingual,minimal,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+682,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 682-282746.",insurance grounded-qa fine-tuning instruction bilingual,clean,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+683,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; 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: 683-657888.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+684,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; 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: 684-322390.",insurance grounded-qa fine-tuning instruction bilingual,clean,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+685,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 685-852898.",insurance grounded-qa fine-tuning instruction bilingual,detailed,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+686,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: BILINGUAL; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 686-663285.",insurance grounded-qa fine-tuning instruction bilingual,detailed,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+687,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 687-687156.",insurance grounded-qa fine-tuning instruction bilingual,stylized,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+688,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: data scientist; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 688-756986.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+689,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 689-594365.",insurance grounded-qa fine-tuning instruction bilingual,minimal,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+690,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 690-740499.",insurance grounded-qa fine-tuning instruction bilingual,stylized,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+691,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 691-858050.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+692,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 692-425106.",insurance grounded-qa fine-tuning instruction bilingual,clean,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+693,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 693-255167.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+694,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 694-825165.",insurance grounded-qa fine-tuning instruction bilingual,clean,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+695,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 695-432837.",insurance grounded-qa fine-tuning instruction bilingual,stylized,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+696,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: data scientist; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 696-858279.",insurance grounded-qa fine-tuning instruction bilingual,minimal,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+697,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: data scientist; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 697-594078.",insurance grounded-qa fine-tuning instruction bilingual,detailed,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+698,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-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: 698-170862.",insurance grounded-qa fine-tuning instruction bilingual,minimal,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+699,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 699-275328.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+700,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 700-730644.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+701,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 701-825541.",insurance grounded-qa fine-tuning instruction bilingual,minimal,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+702,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: data scientist; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 702-157540.",insurance grounded-qa fine-tuning instruction bilingual,minimal,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+703,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 703-797202.",insurance grounded-qa fine-tuning instruction bilingual,detailed,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+704,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: data scientist; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 704-982013.",insurance grounded-qa fine-tuning instruction bilingual,clean,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+705,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 705-543986.",insurance grounded-qa fine-tuning instruction bilingual,clean,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+706,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 706-146308.",insurance grounded-qa fine-tuning instruction bilingual,clean,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+707,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 707-772012.",insurance grounded-qa fine-tuning instruction bilingual,stylized,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+708,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 708-324193.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+709,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; 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: 709-168551.",insurance grounded-qa fine-tuning instruction bilingual,minimal,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+710,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 710-773116.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+711,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; 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: 711-511340.",insurance grounded-qa fine-tuning instruction bilingual,minimal,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+712,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 712-471609.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+713,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 713-461868.",insurance grounded-qa fine-tuning instruction bilingual,detailed,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+714,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 714-441268.",insurance grounded-qa fine-tuning instruction bilingual,stylized,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+715,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 715-789094.",insurance grounded-qa fine-tuning instruction bilingual,stylized,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+716,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: data scientist; Task: quality-check; Format: long-context; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 716-704190.",insurance grounded-qa fine-tuning instruction bilingual,detailed,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+717,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: data scientist; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 717-862876.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+718,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 718-418861.",insurance grounded-qa fine-tuning instruction bilingual,clean,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+719,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 719-650211.",insurance grounded-qa fine-tuning instruction bilingual,clean,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+720,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 720-433000.",insurance grounded-qa fine-tuning instruction bilingual,stylized,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+721,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ml engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 721-418234.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+722,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-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: 722-314917.",insurance grounded-qa fine-tuning instruction bilingual,stylized,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+723,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-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: 723-865161.",insurance grounded-qa fine-tuning instruction bilingual,detailed,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+724,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 724-706033.",insurance grounded-qa fine-tuning instruction bilingual,minimal,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+725,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 725-669362.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+726,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 726-682957.",insurance grounded-qa fine-tuning instruction bilingual,clean,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+727,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: platform engineer; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 727-196600.",insurance grounded-qa fine-tuning instruction bilingual,clean,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+728,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 728-143761.",insurance grounded-qa fine-tuning instruction bilingual,detailed,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+729,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; 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: 729-506859.",insurance grounded-qa fine-tuning instruction bilingual,clean,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+730,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 730-616013.",insurance grounded-qa fine-tuning instruction bilingual,clean,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+731,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; 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: 731-711359.",insurance grounded-qa fine-tuning instruction bilingual,clean,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+732,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 732-794376.",insurance grounded-qa fine-tuning instruction bilingual,stylized,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+733,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 733-761322.",insurance grounded-qa fine-tuning instruction bilingual,stylized,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+734,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: data scientist; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 734-734717.",insurance grounded-qa fine-tuning instruction bilingual,clean,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+735,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 735-871146.",insurance grounded-qa fine-tuning instruction bilingual,minimal,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+736,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 736-815108.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+737,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 737-166719.",insurance grounded-qa fine-tuning instruction bilingual,clean,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+738,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: data scientist; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 738-628703.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+739,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 739-310322.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+740,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 740-355643.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+741,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; 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: 741-135875.",insurance grounded-qa fine-tuning instruction bilingual,clean,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+742,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: BILINGUAL; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 742-949206.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+743,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 743-798057.",insurance grounded-qa fine-tuning instruction bilingual,stylized,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+744,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 744-265658.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+745,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 745-786811.",insurance grounded-qa fine-tuning instruction bilingual,minimal,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+746,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 746-605159.",insurance grounded-qa fine-tuning instruction bilingual,minimal,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+747,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 747-331252.",insurance grounded-qa fine-tuning instruction bilingual,detailed,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+748,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 748-995338.",insurance grounded-qa fine-tuning instruction bilingual,detailed,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+749,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 749-998597.",insurance grounded-qa fine-tuning instruction bilingual,minimal,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+750,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 750-139066.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+751,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 751-177300.",insurance grounded-qa fine-tuning instruction bilingual,minimal,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+752,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 752-407370.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+753,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 753-953795.",insurance grounded-qa fine-tuning instruction bilingual,detailed,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+754,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-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: 754-883966.",insurance grounded-qa fine-tuning instruction bilingual,clean,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+755,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 755-416187.",insurance grounded-qa fine-tuning instruction bilingual,stylized,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+756,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; 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: 756-812954.",insurance grounded-qa fine-tuning instruction bilingual,stylized,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+757,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-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: 757-531051.",insurance grounded-qa fine-tuning instruction bilingual,minimal,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+758,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: BILINGUAL; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 758-458368.",insurance grounded-qa fine-tuning instruction bilingual,clean,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+759,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 759-890673.",insurance grounded-qa fine-tuning instruction bilingual,clean,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+760,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 760-484954.",insurance grounded-qa fine-tuning instruction bilingual,clean,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+761,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; 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: 761-323262.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+762,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; 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: 762-917656.",insurance grounded-qa fine-tuning instruction bilingual,stylized,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+763,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: data scientist; Task: robustness-check; Format: long-context; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 763-735454.",insurance grounded-qa fine-tuning instruction bilingual,stylized,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+764,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: BILINGUAL; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 764-650073.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+765,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 765-381790.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+766,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 766-225748.",insurance grounded-qa fine-tuning instruction bilingual,stylized,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+767,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 767-597161.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+768,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; 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: 768-449171.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+769,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 769-487801.",insurance grounded-qa fine-tuning instruction bilingual,stylized,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+770,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 770-231124.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+771,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 771-484016.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+772,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 772-507614.",insurance grounded-qa fine-tuning instruction bilingual,minimal,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+773,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-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: 773-598016.",insurance grounded-qa fine-tuning instruction bilingual,clean,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+774,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 774-306492.",insurance grounded-qa fine-tuning instruction bilingual,clean,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+775,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 775-790375.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+776,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 776-907689.",insurance grounded-qa fine-tuning instruction bilingual,detailed,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+777,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 777-715984.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+778,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 778-818739.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+779,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 779-471683.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+780,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 780-109242.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+781,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: BILINGUAL; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 781-559650.",insurance grounded-qa fine-tuning instruction bilingual,stylized,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+782,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 782-959015.",insurance grounded-qa fine-tuning instruction bilingual,clean,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+783,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; 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: 783-972716.",insurance grounded-qa fine-tuning instruction bilingual,stylized,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+784,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 784-895968.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+785,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 785-468855.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+786,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: data scientist; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 786-296353.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+787,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 787-922980.",insurance grounded-qa fine-tuning instruction bilingual,clean,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+788,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 788-485026.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+789,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: data scientist; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 789-248726.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+790,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 790-394262.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+791,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: BILINGUAL; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 791-415331.",insurance grounded-qa fine-tuning instruction bilingual,clean,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+792,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ml engineer; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 792-113857.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+793,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 793-848335.",insurance grounded-qa fine-tuning instruction bilingual,clean,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+794,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; 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: 794-472273.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+795,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 795-202182.",insurance grounded-qa fine-tuning instruction bilingual,detailed,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+796,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 796-203985.",insurance grounded-qa fine-tuning instruction bilingual,detailed,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+797,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: BILINGUAL; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 797-268264.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+798,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ml engineer; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 798-148086.",insurance grounded-qa fine-tuning instruction bilingual,clean,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+799,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 799-347044.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+800,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: BILINGUAL; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 800-852212.",insurance grounded-qa fine-tuning instruction bilingual,clean,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+801,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 801-267231.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+802,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-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: 802-649143.",insurance grounded-qa fine-tuning instruction bilingual,detailed,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+803,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; 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: 803-186061.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+804,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; 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: 804-377031.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+805,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; 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: 805-206800.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+806,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-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: 806-956918.",insurance grounded-qa fine-tuning instruction bilingual,clean,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+807,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; 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: 807-132742.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+808,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: platform engineer; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 808-978577.",insurance grounded-qa fine-tuning instruction bilingual,minimal,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+809,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 809-547461.",insurance grounded-qa fine-tuning instruction bilingual,stylized,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+810,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 810-885592.",insurance grounded-qa fine-tuning instruction bilingual,clean,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+811,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; 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: 811-684203.",insurance grounded-qa fine-tuning instruction bilingual,clean,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+812,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 812-816335.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+813,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 813-121077.",insurance grounded-qa fine-tuning instruction bilingual,clean,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+814,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; 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: 814-397930.",insurance grounded-qa fine-tuning instruction bilingual,stylized,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+815,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 815-616817.",insurance grounded-qa fine-tuning instruction bilingual,minimal,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+816,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 816-590448.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+817,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 817-145889.",insurance grounded-qa fine-tuning instruction bilingual,clean,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+818,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 818-526968.",insurance grounded-qa fine-tuning instruction bilingual,clean,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+819,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: BILINGUAL; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 819-826790.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+820,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: data scientist; Task: benchmarking; Format: long-context; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 820-120674.",insurance grounded-qa fine-tuning instruction bilingual,clean,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+821,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-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: 821-948981.",insurance grounded-qa fine-tuning instruction bilingual,clean,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+822,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 822-324167.",insurance grounded-qa fine-tuning instruction bilingual,minimal,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+823,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 823-940011.",insurance grounded-qa fine-tuning instruction bilingual,minimal,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+824,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 824-822882.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+825,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 825-916244.",insurance grounded-qa fine-tuning instruction bilingual,stylized,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+826,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-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: 826-448941.",insurance grounded-qa fine-tuning instruction bilingual,minimal,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+827,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 827-436618.",insurance grounded-qa fine-tuning instruction bilingual,detailed,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+828,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; 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: 828-927299.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+829,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-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: 829-531447.",insurance grounded-qa fine-tuning instruction bilingual,stylized,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+830,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 830-767949.",insurance grounded-qa fine-tuning instruction bilingual,stylized,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+831,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 831-527110.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+832,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 832-913473.",insurance grounded-qa fine-tuning instruction bilingual,detailed,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+833,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; 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: 833-459845.",insurance grounded-qa fine-tuning instruction bilingual,stylized,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+834,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 834-950738.",insurance grounded-qa fine-tuning instruction bilingual,detailed,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+835,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: BILINGUAL; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 835-512440.",insurance grounded-qa fine-tuning instruction bilingual,minimal,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+836,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 836-970965.",insurance grounded-qa fine-tuning instruction bilingual,clean,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+837,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ml engineer; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 837-628265.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+838,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: BILINGUAL; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 838-252030.",insurance grounded-qa fine-tuning instruction bilingual,minimal,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+839,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 839-860321.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+840,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 840-455951.",insurance grounded-qa fine-tuning instruction bilingual,stylized,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+841,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 841-527014.",insurance grounded-qa fine-tuning instruction bilingual,stylized,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+842,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 842-809727.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+843,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 843-314609.",insurance grounded-qa fine-tuning instruction bilingual,detailed,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+844,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: data scientist; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 844-476370.",insurance grounded-qa fine-tuning instruction bilingual,stylized,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+845,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 845-669722.",insurance grounded-qa fine-tuning instruction bilingual,clean,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+846,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: data scientist; Task: grounding-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 846-712245.",insurance grounded-qa fine-tuning instruction bilingual,stylized,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+847,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 847-626758.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+848,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: data scientist; Task: benchmarking; Format: long-context; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 848-823124.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+849,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 849-967421.",insurance grounded-qa fine-tuning instruction bilingual,minimal,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+850,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 850-148256.",insurance grounded-qa fine-tuning instruction bilingual,stylized,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+851,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 851-755100.",insurance grounded-qa fine-tuning instruction bilingual,minimal,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+852,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: BILINGUAL; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 852-237644.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+853,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-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: 853-693343.",insurance grounded-qa fine-tuning instruction bilingual,stylized,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+854,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; 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: 854-921261.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+855,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: BILINGUAL; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 855-776576.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+856,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 856-153684.",insurance grounded-qa fine-tuning instruction bilingual,stylized,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+857,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-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: 857-726057.",insurance grounded-qa fine-tuning instruction bilingual,detailed,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+858,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; 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: 858-462153.",insurance grounded-qa fine-tuning instruction bilingual,detailed,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+859,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-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: 859-494308.",insurance grounded-qa fine-tuning instruction bilingual,stylized,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+860,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 860-789824.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+861,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 861-594939.",insurance grounded-qa fine-tuning instruction bilingual,stylized,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+862,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 862-431307.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+863,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: BILINGUAL; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 863-799669.",insurance grounded-qa fine-tuning instruction bilingual,clean,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+864,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 864-743129.",insurance grounded-qa fine-tuning instruction bilingual,clean,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+865,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: data scientist; Task: benchmarking; Format: long-context; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 865-617602.",insurance grounded-qa fine-tuning instruction bilingual,detailed,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+866,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: data scientist; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 866-309168.",insurance grounded-qa fine-tuning instruction bilingual,minimal,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+867,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 867-865335.",insurance grounded-qa fine-tuning instruction bilingual,clean,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+868,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 868-554063.",insurance grounded-qa fine-tuning instruction bilingual,clean,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+869,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 869-560793.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+870,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: data scientist; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 870-840783.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+871,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; 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: 871-106714.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+872,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; 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: 872-241933.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+873,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 873-799871.",insurance grounded-qa fine-tuning instruction bilingual,minimal,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+874,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-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: 874-156733.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+875,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 875-791816.",insurance grounded-qa fine-tuning instruction bilingual,detailed,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+876,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 876-461971.",insurance grounded-qa fine-tuning instruction bilingual,minimal,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+877,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 877-351972.",insurance grounded-qa fine-tuning instruction bilingual,detailed,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+878,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; 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: 878-162070.",insurance grounded-qa fine-tuning instruction bilingual,detailed,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+879,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 879-634022.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+880,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: BILINGUAL; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 880-271700.",insurance grounded-qa fine-tuning instruction bilingual,minimal,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+881,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 881-759463.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+882,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 882-702818.",insurance grounded-qa fine-tuning instruction bilingual,stylized,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+883,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 883-374260.",insurance grounded-qa fine-tuning instruction bilingual,minimal,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+884,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 884-461244.",insurance grounded-qa fine-tuning instruction bilingual,minimal,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+885,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 885-629635.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+886,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 886-940785.",insurance grounded-qa fine-tuning instruction bilingual,clean,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+887,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 887-983395.",insurance grounded-qa fine-tuning instruction bilingual,detailed,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+888,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 888-615955.",insurance grounded-qa fine-tuning instruction bilingual,stylized,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+889,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 889-466570.",insurance grounded-qa fine-tuning instruction bilingual,clean,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+890,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 890-191829.",insurance grounded-qa fine-tuning instruction bilingual,minimal,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+891,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 891-983992.",insurance grounded-qa fine-tuning instruction bilingual,minimal,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+892,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; 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: 892-131368.",insurance grounded-qa fine-tuning instruction bilingual,clean,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+893,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 893-600222.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+894,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 894-964919.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+895,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 895-528907.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+896,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 896-984272.",insurance grounded-qa fine-tuning instruction bilingual,clean,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+897,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 897-487389.",insurance grounded-qa fine-tuning instruction bilingual,detailed,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+898,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 898-815202.",insurance grounded-qa fine-tuning instruction bilingual,stylized,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+899,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-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: 899-427405.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+900,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: data scientist; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 900-340375.",insurance grounded-qa fine-tuning instruction bilingual,minimal,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+901,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 901-678834.",insurance grounded-qa fine-tuning instruction bilingual,detailed,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+902,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 902-691337.",insurance grounded-qa fine-tuning instruction bilingual,stylized,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+903,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: data scientist; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 903-260229.",insurance grounded-qa fine-tuning instruction bilingual,minimal,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+904,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 904-562697.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+905,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 905-974900.",insurance grounded-qa fine-tuning instruction bilingual,detailed,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+906,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ai researcher; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 906-939086.",insurance grounded-qa fine-tuning instruction bilingual,minimal,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+907,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-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: 907-127883.",insurance grounded-qa fine-tuning instruction bilingual,minimal,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+908,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: data scientist; Task: grounding-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 908-907491.",insurance grounded-qa fine-tuning instruction bilingual,stylized,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+909,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 909-852207.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+910,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-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: 910-940737.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+911,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-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: 911-828750.",insurance grounded-qa fine-tuning instruction bilingual,minimal,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+912,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: BILINGUAL; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 912-437360.",insurance grounded-qa fine-tuning instruction bilingual,minimal,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+913,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: platform engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 913-320010.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+914,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 914-555610.",insurance grounded-qa fine-tuning instruction bilingual,stylized,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+915,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 915-368518.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+916,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 916-435271.",insurance grounded-qa fine-tuning instruction bilingual,minimal,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+917,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 917-854122.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+918,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ml engineer; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 918-958792.",insurance grounded-qa fine-tuning instruction bilingual,clean,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+919,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ai researcher; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 919-232382.",insurance grounded-qa fine-tuning instruction bilingual,stylized,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+920,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ai researcher; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 920-876396.",insurance grounded-qa fine-tuning instruction bilingual,stylized,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+921,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 921-629197.",insurance grounded-qa fine-tuning instruction bilingual,minimal,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+922,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-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: 922-743851.",insurance grounded-qa fine-tuning instruction bilingual,minimal,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+923,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; 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: 923-671764.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+924,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 924-773885.",insurance grounded-qa fine-tuning instruction bilingual,minimal,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+925,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: BILINGUAL; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 925-652402.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+926,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 926-424212.",insurance grounded-qa fine-tuning instruction bilingual,detailed,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+927,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 927-369993.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+928,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; 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: 928-941653.",insurance grounded-qa fine-tuning instruction bilingual,clean,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+929,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 929-435709.",insurance grounded-qa fine-tuning instruction bilingual,stylized,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+930,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 930-131636.",insurance grounded-qa fine-tuning instruction bilingual,detailed,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+931,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; 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: 931-325743.",insurance grounded-qa fine-tuning instruction bilingual,stylized,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+932,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 932-253288.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+933,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 933-133469.",insurance grounded-qa fine-tuning instruction bilingual,clean,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+934,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 934-627169.",insurance grounded-qa fine-tuning instruction bilingual,clean,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+935,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 935-446101.",insurance grounded-qa fine-tuning instruction bilingual,minimal,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+936,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-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: 936-492467.",insurance grounded-qa fine-tuning instruction bilingual,minimal,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+937,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: data scientist; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 937-590837.",insurance grounded-qa fine-tuning instruction bilingual,stylized,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+938,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 938-956232.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+939,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ai researcher; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 939-733577.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+940,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ml engineer; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 940-948926.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+941,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: BILINGUAL; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 941-137826.",insurance grounded-qa fine-tuning instruction bilingual,stylized,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+942,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 942-410576.",insurance grounded-qa fine-tuning instruction bilingual,minimal,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+943,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 943-589786.",insurance grounded-qa fine-tuning instruction bilingual,clean,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+944,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 944-197201.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+945,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 945-973988.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+946,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: data scientist; Task: grounding-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 946-777438.",insurance grounded-qa fine-tuning instruction bilingual,detailed,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+947,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 947-176089.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+948,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 948-464187.",insurance grounded-qa fine-tuning instruction bilingual,clean,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+949,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 949-392353.",insurance grounded-qa fine-tuning instruction bilingual,detailed,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+950,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 950-705271.",insurance grounded-qa fine-tuning instruction bilingual,minimal,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+951,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 951-472922.",insurance grounded-qa fine-tuning instruction bilingual,stylized,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+952,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 952-104872.",insurance grounded-qa fine-tuning instruction bilingual,clean,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+953,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: data scientist; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 953-442090.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+954,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 954-473176.",insurance grounded-qa fine-tuning instruction bilingual,detailed,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+955,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: BILINGUAL; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 955-476973.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+956,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 956-401658.",insurance grounded-qa fine-tuning instruction bilingual,minimal,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+957,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 957-854688.",insurance grounded-qa fine-tuning instruction bilingual,detailed,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+958,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 958-771866.",insurance grounded-qa fine-tuning instruction bilingual,clean,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+959,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; 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: 959-292003.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+960,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 960-204851.",insurance grounded-qa fine-tuning instruction bilingual,minimal,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+961,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 961-539843.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+962,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 962-338803.",insurance grounded-qa fine-tuning instruction bilingual,stylized,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+963,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ai researcher; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 963-999777.",insurance grounded-qa fine-tuning instruction bilingual,detailed,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+964,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: BILINGUAL; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 964-740589.",insurance grounded-qa fine-tuning instruction bilingual,detailed,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+965,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: BILINGUAL; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 965-765425.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+966,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 966-473293.",insurance grounded-qa fine-tuning instruction bilingual,clean,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+967,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: BILINGUAL; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 967-807291.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+968,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: BILINGUAL; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 968-173959.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+969,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 969-866059.",insurance grounded-qa fine-tuning instruction bilingual,clean,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+970,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 970-101790.",insurance grounded-qa fine-tuning instruction bilingual,minimal,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+971,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 971-531302.",insurance grounded-qa fine-tuning instruction bilingual,detailed,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+972,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ai researcher; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 972-356596.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+973,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; 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: 973-310609.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+974,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 974-822708.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+975,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 975-529365.",insurance grounded-qa fine-tuning instruction bilingual,detailed,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+976,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 976-491125.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+977,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: data scientist; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 977-404114.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+978,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 978-182172.",insurance grounded-qa fine-tuning instruction bilingual,stylized,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+979,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 979-780423.",insurance grounded-qa fine-tuning instruction bilingual,minimal,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+980,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 980-364892.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+981,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 981-107611.",insurance grounded-qa fine-tuning instruction bilingual,minimal,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+982,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 982-404087.",insurance grounded-qa fine-tuning instruction bilingual,detailed,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+983,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 983-764716.",insurance grounded-qa fine-tuning instruction bilingual,clean,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+984,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 984-796463.",insurance grounded-qa fine-tuning instruction bilingual,minimal,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+985,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 985-577098.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+986,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 986-872597.",insurance grounded-qa fine-tuning instruction bilingual,detailed,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+987,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 987-624068.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+988,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: BILINGUAL; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 988-823368.",insurance grounded-qa fine-tuning instruction bilingual,clean,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+989,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 989-651621.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+990,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; 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: 990-884062.",insurance grounded-qa fine-tuning instruction bilingual,minimal,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+991,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 991-566780.",insurance grounded-qa fine-tuning instruction bilingual,clean,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+992,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 992-761590.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+993,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 993-587397.",insurance grounded-qa fine-tuning instruction bilingual,stylized,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+994,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; 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: 994-577994.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+995,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 995-420747.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+996,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; 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: 996-495513.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+997,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 997-208778.",insurance grounded-qa fine-tuning instruction bilingual,detailed,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+998,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 998-489815.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+999,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 999-732295.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+1000,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; 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: 1000-508501.",insurance grounded-qa fine-tuning instruction bilingual,detailed,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+1001,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1001-679323.",insurance grounded-qa fine-tuning instruction bilingual,detailed,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+1002,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1002-996820.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+1003,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1003-285451.",insurance grounded-qa fine-tuning instruction bilingual,clean,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+1004,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-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: 1004-934908.",insurance grounded-qa fine-tuning instruction bilingual,stylized,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+1005,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1005-538892.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+1006,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1006-809260.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+1007,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1007-615761.",insurance grounded-qa fine-tuning instruction bilingual,clean,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+1008,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1008-866774.",insurance grounded-qa fine-tuning instruction bilingual,stylized,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+1009,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1009-171968.",insurance grounded-qa fine-tuning instruction bilingual,stylized,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+1010,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1010-484286.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+1011,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1011-920460.",insurance grounded-qa fine-tuning instruction bilingual,detailed,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+1012,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1012-123288.",insurance grounded-qa fine-tuning instruction bilingual,stylized,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+1013,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; 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: 1013-332669.",insurance grounded-qa fine-tuning instruction bilingual,clean,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+1014,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1014-154891.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+1015,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1015-773859.",insurance grounded-qa fine-tuning instruction bilingual,detailed,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+1016,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: BILINGUAL; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1016-516206.",insurance grounded-qa fine-tuning instruction bilingual,minimal,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+1017,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-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: 1017-473623.",insurance grounded-qa fine-tuning instruction bilingual,clean,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+1018,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1018-727366.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+1019,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1019-726889.",insurance grounded-qa fine-tuning instruction bilingual,stylized,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+1020,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1020-581224.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+1021,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: data scientist; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1021-696788.",insurance grounded-qa fine-tuning instruction bilingual,stylized,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+1022,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1022-165797.",insurance grounded-qa fine-tuning instruction bilingual,clean,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+1023,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ai researcher; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1023-851236.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+1024,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1024-259761.",insurance grounded-qa fine-tuning instruction bilingual,stylized,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+1025,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; 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: 1025-644137.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+1026,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1026-795365.",insurance grounded-qa fine-tuning instruction bilingual,clean,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+1027,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: platform engineer; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1027-501753.",insurance grounded-qa fine-tuning instruction bilingual,stylized,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+1028,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1028-395433.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+1029,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; 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: 1029-379447.",insurance grounded-qa fine-tuning instruction bilingual,stylized,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+1030,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1030-529600.",insurance grounded-qa fine-tuning instruction bilingual,stylized,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+1031,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-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: 1031-264862.",insurance grounded-qa fine-tuning instruction bilingual,detailed,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+1032,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1032-779723.",insurance grounded-qa fine-tuning instruction bilingual,stylized,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+1033,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; 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: 1033-646936.",insurance grounded-qa fine-tuning instruction bilingual,minimal,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+1034,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-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: 1034-267380.",insurance grounded-qa fine-tuning instruction bilingual,detailed,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+1035,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; 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: 1035-889790.",insurance grounded-qa fine-tuning instruction bilingual,stylized,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+1036,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1036-506937.",insurance grounded-qa fine-tuning instruction bilingual,minimal,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+1037,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1037-451709.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+1038,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-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: 1038-795641.",insurance grounded-qa fine-tuning instruction bilingual,detailed,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+1039,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1039-436014.",insurance grounded-qa fine-tuning instruction bilingual,clean,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+1040,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1040-959502.",insurance grounded-qa fine-tuning instruction bilingual,clean,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+1041,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: data scientist; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1041-520878.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+1042,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; 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: 1042-219049.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+1043,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1043-869567.",insurance grounded-qa fine-tuning instruction bilingual,minimal,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+1044,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: platform engineer; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1044-735054.",insurance grounded-qa fine-tuning instruction bilingual,detailed,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+1045,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1045-203706.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+1046,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; 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: 1046-619179.",insurance grounded-qa fine-tuning instruction bilingual,clean,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+1047,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1047-857151.",insurance grounded-qa fine-tuning instruction bilingual,stylized,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+1048,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: data scientist; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1048-483606.",insurance grounded-qa fine-tuning instruction bilingual,stylized,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+1049,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: data scientist; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1049-934891.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+1050,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-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: 1050-145998.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+1051,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1051-279155.",insurance grounded-qa fine-tuning instruction bilingual,detailed,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+1052,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1052-203404.",insurance grounded-qa fine-tuning instruction bilingual,clean,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+1053,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1053-444029.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+1054,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1054-281679.",insurance grounded-qa fine-tuning instruction bilingual,clean,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+1055,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ai researcher; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1055-840155.",insurance grounded-qa fine-tuning instruction bilingual,clean,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+1056,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; 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: 1056-595149.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+1057,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-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: 1057-871851.",insurance grounded-qa fine-tuning instruction bilingual,detailed,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+1058,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1058-967113.",insurance grounded-qa fine-tuning instruction bilingual,detailed,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+1059,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1059-939999.",insurance grounded-qa fine-tuning instruction bilingual,stylized,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+1060,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: data scientist; Task: grounding-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1060-112720.",insurance grounded-qa fine-tuning instruction bilingual,detailed,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+1061,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: BILINGUAL; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1061-165850.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+1062,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1062-372467.",insurance grounded-qa fine-tuning instruction bilingual,minimal,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+1063,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1063-278699.",insurance grounded-qa fine-tuning instruction bilingual,minimal,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+1064,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-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: 1064-763381.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+1065,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1065-732330.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+1066,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: BILINGUAL; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1066-152439.",insurance grounded-qa fine-tuning instruction bilingual,stylized,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+1067,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: data scientist; Task: benchmarking; Format: long-context; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1067-665758.",insurance grounded-qa fine-tuning instruction bilingual,detailed,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+1068,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1068-742011.",insurance grounded-qa fine-tuning instruction bilingual,clean,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+1069,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-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: 1069-782812.",insurance grounded-qa fine-tuning instruction bilingual,minimal,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+1070,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1070-498344.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+1071,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1071-575420.",insurance grounded-qa fine-tuning instruction bilingual,detailed,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+1072,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1072-507928.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+1073,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: data scientist; Task: grounding-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1073-781509.",insurance grounded-qa fine-tuning instruction bilingual,clean,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+1074,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1074-655928.",insurance grounded-qa fine-tuning instruction bilingual,clean,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+1075,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1075-966944.",insurance grounded-qa fine-tuning instruction bilingual,detailed,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+1076,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1076-689643.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+1077,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1077-209303.",insurance grounded-qa fine-tuning instruction bilingual,clean,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+1078,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1078-577667.",insurance grounded-qa fine-tuning instruction bilingual,minimal,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+1079,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1079-215355.",insurance grounded-qa fine-tuning instruction bilingual,clean,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+1080,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1080-464125.",insurance grounded-qa fine-tuning instruction bilingual,clean,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+1081,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ai researcher; Task: quality-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1081-509320.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+1082,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1082-610424.",insurance grounded-qa fine-tuning instruction bilingual,stylized,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+1083,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1083-880197.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+1084,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-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: 1084-670909.",insurance grounded-qa fine-tuning instruction bilingual,stylized,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+1085,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1085-953627.",insurance grounded-qa fine-tuning instruction bilingual,clean,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+1086,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1086-737806.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+1087,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: BILINGUAL; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1087-129920.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+1088,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1088-719590.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+1089,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1089-740020.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+1090,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1090-145192.",insurance grounded-qa fine-tuning instruction bilingual,detailed,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+1091,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1091-455596.",insurance grounded-qa fine-tuning instruction bilingual,detailed,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+1092,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; 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: 1092-180124.",insurance grounded-qa fine-tuning instruction bilingual,stylized,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+1093,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1093-719609.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+1094,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ml engineer; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1094-706135.",insurance grounded-qa fine-tuning instruction bilingual,detailed,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+1095,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1095-946834.",insurance grounded-qa fine-tuning instruction bilingual,clean,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+1096,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; 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: 1096-694722.",insurance grounded-qa fine-tuning instruction bilingual,detailed,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+1097,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ml engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1097-504818.",insurance grounded-qa fine-tuning instruction bilingual,minimal,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+1098,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; 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: 1098-271795.",insurance grounded-qa fine-tuning instruction bilingual,clean,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+1099,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1099-491454.",insurance grounded-qa fine-tuning instruction bilingual,minimal,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+1100,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; 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: 1100-703239.",insurance grounded-qa fine-tuning instruction bilingual,stylized,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+1101,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-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: 1101-742739.",insurance grounded-qa fine-tuning instruction bilingual,detailed,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+1102,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: BILINGUAL; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1102-239511.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+1103,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1103-447271.",insurance grounded-qa fine-tuning instruction bilingual,clean,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+1104,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: data scientist; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1104-497313.",insurance grounded-qa fine-tuning instruction bilingual,minimal,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+1105,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1105-645241.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+1106,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-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: 1106-699497.",insurance grounded-qa fine-tuning instruction bilingual,minimal,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+1107,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; 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: 1107-894359.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+1108,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: BILINGUAL; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1108-638147.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+1109,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1109-882444.",insurance grounded-qa fine-tuning instruction bilingual,detailed,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+1110,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; 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: 1110-478322.",insurance grounded-qa fine-tuning instruction bilingual,clean,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+1111,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: BILINGUAL; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1111-616469.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+1112,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; 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: 1112-563029.",insurance grounded-qa fine-tuning instruction bilingual,stylized,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+1113,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1113-448189.",insurance grounded-qa fine-tuning instruction bilingual,minimal,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+1114,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; 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: 1114-749133.",insurance grounded-qa fine-tuning instruction bilingual,clean,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+1115,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1115-749046.",insurance grounded-qa fine-tuning instruction bilingual,clean,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+1116,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1116-397235.",insurance grounded-qa fine-tuning instruction bilingual,stylized,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+1117,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1117-309909.",insurance grounded-qa fine-tuning instruction bilingual,minimal,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+1118,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1118-685736.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+1119,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; 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: 1119-122416.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+1120,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: BILINGUAL; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1120-356879.",insurance grounded-qa fine-tuning instruction bilingual,detailed,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+1121,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1121-151301.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+1122,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-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: 1122-282235.",insurance grounded-qa fine-tuning instruction bilingual,detailed,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+1123,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: data scientist; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1123-303009.",insurance grounded-qa fine-tuning instruction bilingual,stylized,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+1124,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1124-599128.",insurance grounded-qa fine-tuning instruction bilingual,minimal,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+1125,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ai researcher; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1125-980618.",insurance grounded-qa fine-tuning instruction bilingual,detailed,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+1126,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1126-807753.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+1127,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: BILINGUAL; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1127-755667.",insurance grounded-qa fine-tuning instruction bilingual,minimal,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+1128,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: platform engineer; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1128-985969.",insurance grounded-qa fine-tuning instruction bilingual,minimal,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+1129,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1129-562455.",insurance grounded-qa fine-tuning instruction bilingual,detailed,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+1130,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1130-343079.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+1131,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1131-261934.",insurance grounded-qa fine-tuning instruction bilingual,clean,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+1132,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1132-273482.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+1133,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1133-631005.",insurance grounded-qa fine-tuning instruction bilingual,stylized,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+1134,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-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: 1134-641478.",insurance grounded-qa fine-tuning instruction bilingual,minimal,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+1135,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1135-652366.",insurance grounded-qa fine-tuning instruction bilingual,clean,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+1136,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: BILINGUAL; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1136-574188.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+1137,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1137-793275.",insurance grounded-qa fine-tuning instruction bilingual,detailed,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+1138,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1138-714530.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+1139,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1139-172646.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+1140,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1140-559726.",insurance grounded-qa fine-tuning instruction bilingual,stylized,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+1141,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: platform engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1141-311464.",insurance grounded-qa fine-tuning instruction bilingual,clean,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+1142,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-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: 1142-320290.",insurance grounded-qa fine-tuning instruction bilingual,clean,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+1143,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1143-419731.",insurance grounded-qa fine-tuning instruction bilingual,detailed,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+1144,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1144-330569.",insurance grounded-qa fine-tuning instruction bilingual,detailed,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+1145,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1145-623360.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+1146,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1146-473623.",insurance grounded-qa fine-tuning instruction bilingual,detailed,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+1147,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1147-782725.",insurance grounded-qa fine-tuning instruction bilingual,minimal,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+1148,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: platform engineer; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1148-508078.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+1149,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: data scientist; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1149-527177.",insurance grounded-qa fine-tuning instruction bilingual,detailed,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+1150,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-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: 1150-954690.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+1151,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: platform engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1151-842432.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+1152,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: data scientist; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1152-787686.",insurance grounded-qa fine-tuning instruction bilingual,clean,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+1153,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: BILINGUAL; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1153-370052.",insurance grounded-qa fine-tuning instruction bilingual,detailed,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+1154,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1154-177914.",insurance grounded-qa fine-tuning instruction bilingual,detailed,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+1155,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: platform engineer; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1155-724656.",insurance grounded-qa fine-tuning instruction bilingual,stylized,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+1156,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; 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: 1156-910968.",insurance grounded-qa fine-tuning instruction bilingual,detailed,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+1157,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1157-773362.",insurance grounded-qa fine-tuning instruction bilingual,minimal,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+1158,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1158-272535.",insurance grounded-qa fine-tuning instruction bilingual,minimal,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+1159,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; 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: 1159-486975.",insurance grounded-qa fine-tuning instruction bilingual,detailed,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+1160,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1160-889483.",insurance grounded-qa fine-tuning instruction bilingual,detailed,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+1161,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1161-545780.",insurance grounded-qa fine-tuning instruction bilingual,minimal,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+1162,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1162-426621.",insurance grounded-qa fine-tuning instruction bilingual,detailed,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+1163,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1163-623863.",insurance grounded-qa fine-tuning instruction bilingual,stylized,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+1164,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1164-198831.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+1165,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ml engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1165-379612.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+1166,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1166-158618.",insurance grounded-qa fine-tuning instruction bilingual,detailed,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+1167,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1167-797447.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+1168,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1168-946751.",insurance grounded-qa fine-tuning instruction bilingual,stylized,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+1169,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1169-186804.",insurance grounded-qa fine-tuning instruction bilingual,stylized,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+1170,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1170-953151.",insurance grounded-qa fine-tuning instruction bilingual,stylized,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+1171,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ai researcher; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1171-365032.",insurance grounded-qa fine-tuning instruction bilingual,clean,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+1172,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1172-299064.",insurance grounded-qa fine-tuning instruction bilingual,detailed,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+1173,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1173-460641.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+1174,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1174-470742.",insurance grounded-qa fine-tuning instruction bilingual,detailed,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+1175,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-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: 1175-699608.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+1176,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1176-465234.",insurance grounded-qa fine-tuning instruction bilingual,clean,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+1177,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-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: 1177-257742.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+1178,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1178-238676.",insurance grounded-qa fine-tuning instruction bilingual,clean,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+1179,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; 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: 1179-856637.",insurance grounded-qa fine-tuning instruction bilingual,clean,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+1180,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: data scientist; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1180-304551.",insurance grounded-qa fine-tuning instruction bilingual,detailed,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+1181,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: data scientist; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1181-750047.",insurance grounded-qa fine-tuning instruction bilingual,detailed,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+1182,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1182-843341.",insurance grounded-qa fine-tuning instruction bilingual,stylized,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+1183,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1183-807187.",insurance grounded-qa fine-tuning instruction bilingual,detailed,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+1184,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; 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: 1184-347304.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+1185,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; 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: 1185-888653.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+1186,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: BILINGUAL; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1186-599010.",insurance grounded-qa fine-tuning instruction bilingual,clean,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+1187,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1187-898891.",insurance grounded-qa fine-tuning instruction bilingual,stylized,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+1188,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1188-591335.",insurance grounded-qa fine-tuning instruction bilingual,stylized,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+1189,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1189-339396.",insurance grounded-qa fine-tuning instruction bilingual,minimal,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+1190,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1190-340134.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+1191,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; 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: 1191-625847.",insurance grounded-qa fine-tuning instruction bilingual,clean,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+1192,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1192-420397.",insurance grounded-qa fine-tuning instruction bilingual,detailed,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+1193,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1193-562141.",insurance grounded-qa fine-tuning instruction bilingual,stylized,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+1194,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1194-822957.",insurance grounded-qa fine-tuning instruction bilingual,detailed,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+1195,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: BILINGUAL; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1195-401999.",insurance grounded-qa fine-tuning instruction bilingual,stylized,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+1196,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1196-175844.",insurance grounded-qa fine-tuning instruction bilingual,detailed,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+1197,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1197-584457.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+1198,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1198-747020.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+1199,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1199-792527.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+1200,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: BILINGUAL; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1200-360635.",insurance grounded-qa fine-tuning instruction bilingual,stylized,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+1201,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: BILINGUAL; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1201-770810.",insurance grounded-qa fine-tuning instruction bilingual,stylized,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+1202,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1202-546299.",insurance grounded-qa fine-tuning instruction bilingual,stylized,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+1203,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-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: 1203-461374.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+1204,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: data scientist; Task: robustness-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1204-334834.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+1205,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ml engineer; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1205-521288.",insurance grounded-qa fine-tuning instruction bilingual,stylized,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+1206,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; 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: 1206-596290.",insurance grounded-qa fine-tuning instruction bilingual,minimal,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+1207,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1207-668203.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+1208,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1208-873782.",insurance grounded-qa fine-tuning instruction bilingual,detailed,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+1209,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1209-745451.",insurance grounded-qa fine-tuning instruction bilingual,minimal,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+1210,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1210-115292.",insurance grounded-qa fine-tuning instruction bilingual,detailed,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+1211,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: data scientist; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1211-846656.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+1212,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1212-605037.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+1213,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1213-868934.",insurance grounded-qa fine-tuning instruction bilingual,minimal,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+1214,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: BILINGUAL; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1214-340244.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+1215,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1215-895570.",insurance grounded-qa fine-tuning instruction bilingual,clean,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+1216,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1216-170000.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+1217,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: BILINGUAL; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1217-373434.",insurance grounded-qa fine-tuning instruction bilingual,stylized,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+1218,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1218-519072.",insurance grounded-qa fine-tuning instruction bilingual,detailed,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+1219,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1219-377688.",insurance grounded-qa fine-tuning instruction bilingual,minimal,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+1220,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1220-476552.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+1221,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1221-870312.",insurance grounded-qa fine-tuning instruction bilingual,detailed,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+1222,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1222-524063.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+1223,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; 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: 1223-999671.",insurance grounded-qa fine-tuning instruction bilingual,stylized,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+1224,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; 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: 1224-873591.",insurance grounded-qa fine-tuning instruction bilingual,minimal,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+1225,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; 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: 1225-474791.",insurance grounded-qa fine-tuning instruction bilingual,minimal,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+1226,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1226-409531.",insurance grounded-qa fine-tuning instruction bilingual,minimal,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+1227,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1227-766701.",insurance grounded-qa fine-tuning instruction bilingual,minimal,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+1228,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1228-370492.",insurance grounded-qa fine-tuning instruction bilingual,stylized,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+1229,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1229-241863.",insurance grounded-qa fine-tuning instruction bilingual,detailed,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+1230,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1230-533929.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+1231,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; 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: 1231-442067.",insurance grounded-qa fine-tuning instruction bilingual,detailed,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+1232,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1232-393389.",insurance grounded-qa fine-tuning instruction bilingual,detailed,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+1233,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: data scientist; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1233-843109.",insurance grounded-qa fine-tuning instruction bilingual,detailed,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+1234,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-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: 1234-536293.",insurance grounded-qa fine-tuning instruction bilingual,stylized,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+1235,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1235-651236.",insurance grounded-qa fine-tuning instruction bilingual,stylized,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+1236,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1236-459216.",insurance grounded-qa fine-tuning instruction bilingual,detailed,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+1237,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: BILINGUAL; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1237-945784.",insurance grounded-qa fine-tuning instruction bilingual,stylized,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+1238,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: data scientist; Task: quality-check; Format: long-context; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1238-154427.",insurance grounded-qa fine-tuning instruction bilingual,stylized,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+1239,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1239-616651.",insurance grounded-qa fine-tuning instruction bilingual,minimal,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+1240,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; 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: 1240-371763.",insurance grounded-qa fine-tuning instruction bilingual,detailed,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+1241,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: data scientist; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1241-994036.",insurance grounded-qa fine-tuning instruction bilingual,detailed,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+1242,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ml engineer; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1242-264373.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+1243,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1243-128573.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+1244,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: platform engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1244-437196.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+1245,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-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: 1245-345528.",insurance grounded-qa fine-tuning instruction bilingual,detailed,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+1246,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1246-445009.",insurance grounded-qa fine-tuning instruction bilingual,clean,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+1247,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; 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: 1247-954230.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+1248,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1248-756031.",insurance grounded-qa fine-tuning instruction bilingual,minimal,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+1249,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; 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: 1249-944525.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+1250,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1250-115390.",insurance grounded-qa fine-tuning instruction bilingual,minimal,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+1251,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1251-571411.",insurance grounded-qa fine-tuning instruction bilingual,stylized,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+1252,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1252-436877.",insurance grounded-qa fine-tuning instruction bilingual,stylized,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+1253,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1253-804716.",insurance grounded-qa fine-tuning instruction bilingual,clean,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+1254,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1254-721083.",insurance grounded-qa fine-tuning instruction bilingual,minimal,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+1255,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1255-467493.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+1256,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1256-630236.",insurance grounded-qa fine-tuning instruction bilingual,detailed,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+1257,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1257-747717.",insurance grounded-qa fine-tuning instruction bilingual,clean,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+1258,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1258-354196.",insurance grounded-qa fine-tuning instruction bilingual,detailed,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+1259,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1259-582058.",insurance grounded-qa fine-tuning instruction bilingual,minimal,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+1260,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: platform engineer; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1260-196469.",insurance grounded-qa fine-tuning instruction bilingual,stylized,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+1261,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1261-180601.",insurance grounded-qa fine-tuning instruction bilingual,minimal,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+1262,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1262-493091.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+1263,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: data scientist; Task: quality-check; Format: long-context; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1263-706068.",insurance grounded-qa fine-tuning instruction bilingual,clean,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+1264,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1264-470115.",insurance grounded-qa fine-tuning instruction bilingual,stylized,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+1265,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-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: 1265-596444.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+1266,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ml engineer; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1266-797120.",insurance grounded-qa fine-tuning instruction bilingual,clean,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+1267,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1267-923573.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+1268,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: BILINGUAL; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1268-961751.",insurance grounded-qa fine-tuning instruction bilingual,stylized,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+1269,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1269-968585.",insurance grounded-qa fine-tuning instruction bilingual,clean,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+1270,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; 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: 1270-889433.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+1271,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1271-880305.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+1272,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; 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: 1272-404759.",insurance grounded-qa fine-tuning instruction bilingual,minimal,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+1273,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; 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: 1273-614873.",insurance grounded-qa fine-tuning instruction bilingual,minimal,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+1274,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1274-700115.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+1275,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1275-716751.",insurance grounded-qa fine-tuning instruction bilingual,clean,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+1276,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1276-290757.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+1277,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: data scientist; Task: grounding-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1277-845104.",insurance grounded-qa fine-tuning instruction bilingual,detailed,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+1278,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ml engineer; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1278-638308.",insurance grounded-qa fine-tuning instruction bilingual,clean,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+1279,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1279-152564.",insurance grounded-qa fine-tuning instruction bilingual,minimal,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+1280,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1280-901476.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+1281,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ml engineer; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1281-847685.",insurance grounded-qa fine-tuning instruction bilingual,detailed,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+1282,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1282-642963.",insurance grounded-qa fine-tuning instruction bilingual,minimal,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+1283,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1283-196249.",insurance grounded-qa fine-tuning instruction bilingual,clean,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+1284,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1284-612875.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+1285,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: data scientist; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1285-479888.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+1286,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: BILINGUAL; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1286-417347.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+1287,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; 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: 1287-185311.",insurance grounded-qa fine-tuning instruction bilingual,minimal,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+1288,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1288-658448.",insurance grounded-qa fine-tuning instruction bilingual,stylized,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+1289,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-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: 1289-795274.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+1290,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ai researcher; Task: quality-check; Format: long-context; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1290-232681.",insurance grounded-qa fine-tuning instruction bilingual,stylized,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+1291,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1291-651926.",insurance grounded-qa fine-tuning instruction bilingual,stylized,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+1292,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1292-753019.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+1293,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1293-349545.",insurance grounded-qa fine-tuning instruction bilingual,detailed,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+1294,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; 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: 1294-129372.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+1295,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1295-803081.",insurance grounded-qa fine-tuning instruction bilingual,clean,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+1296,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1296-813074.",insurance grounded-qa fine-tuning instruction bilingual,detailed,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+1297,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1297-556461.",insurance grounded-qa fine-tuning instruction bilingual,minimal,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+1298,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: data scientist; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1298-163584.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+1299,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1299-330622.",insurance grounded-qa fine-tuning instruction bilingual,detailed,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+1300,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1300-543607.",insurance grounded-qa fine-tuning instruction bilingual,minimal,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+1301,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ml engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1301-458651.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+1302,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: data scientist; Task: grounding-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1302-260980.",insurance grounded-qa fine-tuning instruction bilingual,detailed,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+1303,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; 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: 1303-402511.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+1304,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1304-797366.",insurance grounded-qa fine-tuning instruction bilingual,clean,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+1305,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; 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: 1305-559426.",insurance grounded-qa fine-tuning instruction bilingual,detailed,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+1306,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1306-171976.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+1307,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-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: 1307-318316.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+1308,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1308-419708.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+1309,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1309-167502.",insurance grounded-qa fine-tuning instruction bilingual,minimal,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+1310,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1310-644195.",insurance grounded-qa fine-tuning instruction bilingual,detailed,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+1311,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1311-583811.",insurance grounded-qa fine-tuning instruction bilingual,detailed,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+1312,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1312-296694.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+1313,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1313-788324.",insurance grounded-qa fine-tuning instruction bilingual,clean,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+1314,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1314-323262.",insurance grounded-qa fine-tuning instruction bilingual,stylized,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+1315,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: platform engineer; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1315-849268.",insurance grounded-qa fine-tuning instruction bilingual,detailed,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+1316,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; 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: 1316-183735.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+1317,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: data scientist; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1317-915875.",insurance grounded-qa fine-tuning instruction bilingual,stylized,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+1318,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1318-500245.",insurance grounded-qa fine-tuning instruction bilingual,minimal,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+1319,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1319-328986.",insurance grounded-qa fine-tuning instruction bilingual,stylized,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+1320,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ml engineer; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1320-161082.",insurance grounded-qa fine-tuning instruction bilingual,stylized,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+1321,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: data scientist; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1321-946034.",insurance grounded-qa fine-tuning instruction bilingual,detailed,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+1322,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: BILINGUAL; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1322-708281.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+1323,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1323-874463.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+1324,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: data scientist; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1324-912775.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+1325,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1325-332463.",insurance grounded-qa fine-tuning instruction bilingual,clean,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+1326,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: data scientist; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1326-237494.",insurance grounded-qa fine-tuning instruction bilingual,clean,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+1327,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1327-159362.",insurance grounded-qa fine-tuning instruction bilingual,stylized,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+1328,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1328-730519.",insurance grounded-qa fine-tuning instruction bilingual,detailed,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+1329,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: BILINGUAL; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1329-999150.",insurance grounded-qa fine-tuning instruction bilingual,stylized,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+1330,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1330-799808.",insurance grounded-qa fine-tuning instruction bilingual,detailed,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+1331,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1331-154513.",insurance grounded-qa fine-tuning instruction bilingual,minimal,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+1332,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1332-925016.",insurance grounded-qa fine-tuning instruction bilingual,minimal,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+1333,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1333-549803.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+1334,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; 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: 1334-109066.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+1335,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; 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: 1335-510183.",insurance grounded-qa fine-tuning instruction bilingual,clean,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+1336,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1336-690282.",insurance grounded-qa fine-tuning instruction bilingual,detailed,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+1337,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1337-717537.",insurance grounded-qa fine-tuning instruction bilingual,stylized,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+1338,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ml engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1338-163514.",insurance grounded-qa fine-tuning instruction bilingual,clean,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+1339,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1339-223635.",insurance grounded-qa fine-tuning instruction bilingual,clean,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+1340,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: data scientist; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1340-756460.",insurance grounded-qa fine-tuning instruction bilingual,minimal,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+1341,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1341-794207.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+1342,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: data scientist; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1342-509910.",insurance grounded-qa fine-tuning instruction bilingual,detailed,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+1343,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: BILINGUAL; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1343-331303.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+1344,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: BILINGUAL; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1344-731253.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+1345,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1345-283074.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+1346,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ai researcher; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1346-866067.",insurance grounded-qa fine-tuning instruction bilingual,clean,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+1347,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: BILINGUAL; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1347-597315.",insurance grounded-qa fine-tuning instruction bilingual,minimal,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+1348,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; 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: 1348-565272.",insurance grounded-qa fine-tuning instruction bilingual,stylized,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+1349,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; 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: 1349-227233.",insurance grounded-qa fine-tuning instruction bilingual,clean,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+1350,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1350-801305.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+1351,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: BILINGUAL; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1351-230593.",insurance grounded-qa fine-tuning instruction bilingual,clean,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+1352,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: platform engineer; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1352-100158.",insurance grounded-qa fine-tuning instruction bilingual,detailed,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+1353,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1353-222455.",insurance grounded-qa fine-tuning instruction bilingual,minimal,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+1354,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; 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: 1354-682181.",insurance grounded-qa fine-tuning instruction bilingual,detailed,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+1355,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1355-355443.",insurance grounded-qa fine-tuning instruction bilingual,stylized,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+1356,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1356-419277.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+1357,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; 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: 1357-868892.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+1358,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-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: 1358-416694.",insurance grounded-qa fine-tuning instruction bilingual,minimal,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+1359,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1359-713755.",insurance grounded-qa fine-tuning instruction bilingual,detailed,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+1360,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; 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: 1360-902816.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+1361,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1361-972696.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+1362,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1362-135934.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+1363,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1363-327423.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+1364,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1364-452667.",insurance grounded-qa fine-tuning instruction bilingual,minimal,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+1365,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-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: 1365-709864.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+1366,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1366-565822.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+1367,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1367-246383.",insurance grounded-qa fine-tuning instruction bilingual,clean,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+1368,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1368-713804.",insurance grounded-qa fine-tuning instruction bilingual,detailed,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+1369,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1369-120353.",insurance grounded-qa fine-tuning instruction bilingual,minimal,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+1370,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: data scientist; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1370-568809.",insurance grounded-qa fine-tuning instruction bilingual,detailed,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+1371,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: data scientist; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1371-995950.",insurance grounded-qa fine-tuning instruction bilingual,detailed,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+1372,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1372-880013.",insurance grounded-qa fine-tuning instruction bilingual,detailed,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+1373,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1373-785080.",insurance grounded-qa fine-tuning instruction bilingual,minimal,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+1374,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: BILINGUAL; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1374-768300.",insurance grounded-qa fine-tuning instruction bilingual,clean,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+1375,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1375-393912.",insurance grounded-qa fine-tuning instruction bilingual,clean,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+1376,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1376-743745.",insurance grounded-qa fine-tuning instruction bilingual,minimal,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+1377,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1377-262894.",insurance grounded-qa fine-tuning instruction bilingual,minimal,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+1378,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1378-843466.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+1379,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: BILINGUAL; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1379-962753.",insurance grounded-qa fine-tuning instruction bilingual,detailed,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+1380,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: BILINGUAL; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1380-923615.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+1381,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; 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: 1381-672802.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+1382,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ml engineer; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1382-703874.",insurance grounded-qa fine-tuning instruction bilingual,clean,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+1383,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ml engineer; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1383-773229.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+1384,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; 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: 1384-695262.",insurance grounded-qa fine-tuning instruction bilingual,minimal,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+1385,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1385-859711.",insurance grounded-qa fine-tuning instruction bilingual,stylized,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+1386,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1386-530635.",insurance grounded-qa fine-tuning instruction bilingual,minimal,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+1387,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1387-159256.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+1388,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1388-576928.",insurance grounded-qa fine-tuning instruction bilingual,minimal,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+1389,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1389-166724.",insurance grounded-qa fine-tuning instruction bilingual,detailed,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+1390,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: BILINGUAL; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1390-217985.",insurance grounded-qa fine-tuning instruction bilingual,detailed,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+1391,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1391-347147.",insurance grounded-qa fine-tuning instruction bilingual,stylized,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+1392,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1392-694289.",insurance grounded-qa fine-tuning instruction bilingual,clean,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+1393,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1393-957566.",insurance grounded-qa fine-tuning instruction bilingual,clean,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+1394,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1394-484976.",insurance grounded-qa fine-tuning instruction bilingual,detailed,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+1395,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ml engineer; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1395-475578.",insurance grounded-qa fine-tuning instruction bilingual,stylized,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+1396,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1396-308932.",insurance grounded-qa fine-tuning instruction bilingual,minimal,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+1397,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1397-120591.",insurance grounded-qa fine-tuning instruction bilingual,stylized,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+1398,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1398-910852.",insurance grounded-qa fine-tuning instruction bilingual,stylized,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+1399,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: data scientist; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1399-634875.",insurance grounded-qa fine-tuning instruction bilingual,minimal,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+1400,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1400-657597.",insurance grounded-qa fine-tuning instruction bilingual,minimal,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+1401,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1401-632682.",insurance grounded-qa fine-tuning instruction bilingual,stylized,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+1402,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1402-343682.",insurance grounded-qa fine-tuning instruction bilingual,clean,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+1403,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: data scientist; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1403-797176.",insurance grounded-qa fine-tuning instruction bilingual,detailed,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+1404,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1404-476268.",insurance grounded-qa fine-tuning instruction bilingual,clean,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+1405,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1405-900849.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+1406,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1406-647814.",insurance grounded-qa fine-tuning instruction bilingual,minimal,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+1407,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1407-602773.",insurance grounded-qa fine-tuning instruction bilingual,detailed,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+1408,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1408-323553.",insurance grounded-qa fine-tuning instruction bilingual,clean,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+1409,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: data scientist; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1409-469359.",insurance grounded-qa fine-tuning instruction bilingual,stylized,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+1410,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ml engineer; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1410-120405.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+1411,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1411-500572.",insurance grounded-qa fine-tuning instruction bilingual,stylized,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+1412,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1412-795306.",insurance grounded-qa fine-tuning instruction bilingual,minimal,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+1413,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1413-142328.",insurance grounded-qa fine-tuning instruction bilingual,detailed,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+1414,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; 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: 1414-176140.",insurance grounded-qa fine-tuning instruction bilingual,stylized,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+1415,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1415-275021.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+1416,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: data scientist; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1416-708918.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+1417,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1417-214079.",insurance grounded-qa fine-tuning instruction bilingual,detailed,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+1418,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1418-370007.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+1419,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1419-896918.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+1420,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; 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: 1420-132453.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+1421,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; 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: 1421-493213.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+1422,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: BILINGUAL; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1422-400910.",insurance grounded-qa fine-tuning instruction bilingual,stylized,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+1423,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-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: 1423-523125.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+1424,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1424-863083.",insurance grounded-qa fine-tuning instruction bilingual,detailed,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+1425,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1425-907383.",insurance grounded-qa fine-tuning instruction bilingual,stylized,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+1426,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1426-171449.",insurance grounded-qa fine-tuning instruction bilingual,clean,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+1427,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; 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: 1427-153770.",insurance grounded-qa fine-tuning instruction bilingual,clean,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+1428,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; 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: 1428-554564.",insurance grounded-qa fine-tuning instruction bilingual,minimal,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+1429,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1429-782828.",insurance grounded-qa fine-tuning instruction bilingual,minimal,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+1430,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1430-654739.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+1431,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1431-800609.",insurance grounded-qa fine-tuning instruction bilingual,detailed,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+1432,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1432-320592.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+1433,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ai researcher; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1433-422065.",insurance grounded-qa fine-tuning instruction bilingual,detailed,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+1434,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; 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: 1434-234159.",insurance grounded-qa fine-tuning instruction bilingual,detailed,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+1435,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1435-363881.",insurance grounded-qa fine-tuning instruction bilingual,stylized,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+1436,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1436-790425.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+1437,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1437-735044.",insurance grounded-qa fine-tuning instruction bilingual,stylized,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+1438,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1438-139549.",insurance grounded-qa fine-tuning instruction bilingual,stylized,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+1439,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1439-840457.",insurance grounded-qa fine-tuning instruction bilingual,stylized,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+1440,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1440-453372.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+1441,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: data scientist; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1441-210845.",insurance grounded-qa fine-tuning instruction bilingual,minimal,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+1442,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1442-375255.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+1443,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1443-838598.",insurance grounded-qa fine-tuning instruction bilingual,detailed,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+1444,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1444-611795.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+1445,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1445-866319.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+1446,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1446-180995.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+1447,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: data scientist; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1447-425192.",insurance grounded-qa fine-tuning instruction bilingual,detailed,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+1448,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; 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: 1448-588941.",insurance grounded-qa fine-tuning instruction bilingual,minimal,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+1449,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1449-214714.",insurance grounded-qa fine-tuning instruction bilingual,stylized,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+1450,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; 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: 1450-947616.",insurance grounded-qa fine-tuning instruction bilingual,clean,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+1451,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1451-537491.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+1452,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; 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: 1452-769057.",insurance grounded-qa fine-tuning instruction bilingual,detailed,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+1453,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ai researcher; Task: quality-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1453-302371.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+1454,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: data scientist; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1454-596419.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+1455,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1455-104968.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+1456,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; 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: 1456-640937.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+1457,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: data scientist; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1457-176170.",insurance grounded-qa fine-tuning instruction bilingual,stylized,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+1458,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1458-442753.",insurance grounded-qa fine-tuning instruction bilingual,clean,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+1459,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1459-530790.",insurance grounded-qa fine-tuning instruction bilingual,minimal,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+1460,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1460-767633.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+1461,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1461-966233.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+1462,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-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: 1462-772742.",insurance grounded-qa fine-tuning instruction bilingual,clean,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+1463,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; 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: 1463-502683.",insurance grounded-qa fine-tuning instruction bilingual,detailed,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+1464,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: BILINGUAL; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1464-205857.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+1465,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1465-929057.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+1466,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1466-602482.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+1467,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1467-619672.",insurance grounded-qa fine-tuning instruction bilingual,minimal,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+1468,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1468-841960.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+1469,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1469-192536.",insurance grounded-qa fine-tuning instruction bilingual,minimal,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+1470,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1470-630849.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+1471,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; 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: 1471-700669.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+1472,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1472-598839.",insurance grounded-qa fine-tuning instruction bilingual,detailed,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+1473,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1473-989314.",insurance grounded-qa fine-tuning instruction bilingual,detailed,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+1474,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1474-455009.",insurance grounded-qa fine-tuning instruction bilingual,detailed,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+1475,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; 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: 1475-773208.",insurance grounded-qa fine-tuning instruction bilingual,detailed,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+1476,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1476-959398.",insurance grounded-qa fine-tuning instruction bilingual,stylized,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+1477,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1477-526584.",insurance grounded-qa fine-tuning instruction bilingual,stylized,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+1478,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; 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: 1478-217561.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+1479,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1479-210170.",insurance grounded-qa fine-tuning instruction bilingual,minimal,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+1480,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1480-142225.",insurance grounded-qa fine-tuning instruction bilingual,stylized,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+1481,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ai researcher; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1481-277027.",insurance grounded-qa fine-tuning instruction bilingual,clean,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+1482,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1482-117476.",insurance grounded-qa fine-tuning instruction bilingual,stylized,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+1483,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: data scientist; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1483-399055.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+1484,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ai researcher; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1484-807503.",insurance grounded-qa fine-tuning instruction bilingual,clean,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+1485,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ml engineer; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1485-505958.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+1486,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1486-232998.",insurance grounded-qa fine-tuning instruction bilingual,stylized,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+1487,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1487-828373.",insurance grounded-qa fine-tuning instruction bilingual,clean,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+1488,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; 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: 1488-986159.",insurance grounded-qa fine-tuning instruction bilingual,clean,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+1489,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: BILINGUAL; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1489-728240.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+1490,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-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: 1490-743647.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+1491,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; 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: 1491-563479.",insurance grounded-qa fine-tuning instruction bilingual,stylized,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+1492,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: data scientist; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1492-394697.",insurance grounded-qa fine-tuning instruction bilingual,detailed,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+1493,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1493-546331.",insurance grounded-qa fine-tuning instruction bilingual,minimal,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+1494,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: platform engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1494-953328.",insurance grounded-qa fine-tuning instruction bilingual,minimal,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+1495,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-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: 1495-381972.",insurance grounded-qa fine-tuning instruction bilingual,stylized,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+1496,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1496-677045.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+1497,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1497-345989.",insurance grounded-qa fine-tuning instruction bilingual,minimal,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+1498,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-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: 1498-967601.",insurance grounded-qa fine-tuning instruction bilingual,minimal,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+1499,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: BILINGUAL; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1499-779378.",insurance grounded-qa fine-tuning instruction bilingual,clean,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+1500,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1500-656409.",insurance grounded-qa fine-tuning instruction bilingual,detailed,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+1501,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1501-963577.",insurance grounded-qa fine-tuning instruction bilingual,minimal,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+1502,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: data scientist; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1502-526128.",insurance grounded-qa fine-tuning instruction bilingual,clean,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+1503,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1503-576077.",insurance grounded-qa fine-tuning instruction bilingual,clean,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+1504,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1504-493139.",insurance grounded-qa fine-tuning instruction bilingual,clean,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+1505,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1505-556637.",insurance grounded-qa fine-tuning instruction bilingual,stylized,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+1506,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1506-101198.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+1507,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; 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: 1507-694886.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+1508,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1508-377621.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+1509,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1509-149873.",insurance grounded-qa fine-tuning instruction bilingual,minimal,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+1510,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-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: 1510-686780.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+1511,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1511-961932.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+1512,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: BILINGUAL; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1512-756572.",insurance grounded-qa fine-tuning instruction bilingual,minimal,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+1513,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; 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: 1513-121904.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+1514,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1514-791414.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+1515,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1515-377218.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+1516,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; 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: 1516-967446.",insurance grounded-qa fine-tuning instruction bilingual,stylized,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+1517,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: data scientist; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1517-811953.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+1518,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1518-890794.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+1519,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1519-631689.",insurance grounded-qa fine-tuning instruction bilingual,detailed,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+1520,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1520-258739.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+1521,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; 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: 1521-408697.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+1522,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1522-720893.",insurance grounded-qa fine-tuning instruction bilingual,clean,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+1523,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1523-716628.",insurance grounded-qa fine-tuning instruction bilingual,minimal,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+1524,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1524-857841.",insurance grounded-qa fine-tuning instruction bilingual,clean,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+1525,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1525-283962.",insurance grounded-qa fine-tuning instruction bilingual,detailed,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+1526,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1526-378970.",insurance grounded-qa fine-tuning instruction bilingual,clean,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+1527,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1527-718725.",insurance grounded-qa fine-tuning instruction bilingual,stylized,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+1528,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1528-467740.",insurance grounded-qa fine-tuning instruction bilingual,stylized,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+1529,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; 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: 1529-365006.",insurance grounded-qa fine-tuning instruction bilingual,stylized,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+1530,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1530-546994.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+1531,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1531-845423.",insurance grounded-qa fine-tuning instruction bilingual,detailed,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+1532,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; 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: 1532-228130.",insurance grounded-qa fine-tuning instruction bilingual,stylized,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+1533,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1533-597947.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+1534,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1534-456916.",insurance grounded-qa fine-tuning instruction bilingual,detailed,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+1535,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-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: 1535-888855.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+1536,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1536-254182.",insurance grounded-qa fine-tuning instruction bilingual,minimal,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+1537,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1537-203201.",insurance grounded-qa fine-tuning instruction bilingual,stylized,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+1538,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1538-408688.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+1539,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: data scientist; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1539-419129.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+1540,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; 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: 1540-942748.",insurance grounded-qa fine-tuning instruction bilingual,clean,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+1541,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ai researcher; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1541-883929.",insurance grounded-qa fine-tuning instruction bilingual,minimal,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+1542,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1542-881613.",insurance grounded-qa fine-tuning instruction bilingual,minimal,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+1543,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1543-981646.",insurance grounded-qa fine-tuning instruction bilingual,clean,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+1544,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; 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: 1544-906179.",insurance grounded-qa fine-tuning instruction bilingual,stylized,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+1545,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1545-787727.",insurance grounded-qa fine-tuning instruction bilingual,minimal,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+1546,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: BILINGUAL; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1546-735194.",insurance grounded-qa fine-tuning instruction bilingual,detailed,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+1547,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; 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: 1547-908501.",insurance grounded-qa fine-tuning instruction bilingual,clean,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+1548,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1548-566334.",insurance grounded-qa fine-tuning instruction bilingual,stylized,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+1549,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1549-796593.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+1550,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; 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: 1550-463899.",insurance grounded-qa fine-tuning instruction bilingual,minimal,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+1551,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1551-722877.",insurance grounded-qa fine-tuning instruction bilingual,minimal,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+1552,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: BILINGUAL; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1552-312238.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+1553,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: data scientist; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1553-242135.",insurance grounded-qa fine-tuning instruction bilingual,detailed,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+1554,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1554-988949.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+1555,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1555-573873.",insurance grounded-qa fine-tuning instruction bilingual,stylized,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+1556,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1556-922337.",insurance grounded-qa fine-tuning instruction bilingual,detailed,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+1557,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1557-275123.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+1558,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; 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: 1558-769041.",insurance grounded-qa fine-tuning instruction bilingual,stylized,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+1559,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ml engineer; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1559-324754.",insurance grounded-qa fine-tuning instruction bilingual,detailed,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+1560,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1560-580227.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+1561,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: data scientist; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1561-401955.",insurance grounded-qa fine-tuning instruction bilingual,clean,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+1562,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1562-659344.",insurance grounded-qa fine-tuning instruction bilingual,stylized,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+1563,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1563-279291.",insurance grounded-qa fine-tuning instruction bilingual,detailed,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+1564,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: BILINGUAL; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1564-351423.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+1565,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1565-469361.",insurance grounded-qa fine-tuning instruction bilingual,minimal,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+1566,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1566-918112.",insurance grounded-qa fine-tuning instruction bilingual,clean,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+1567,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1567-191651.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+1568,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1568-752371.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+1569,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: data scientist; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1569-863059.",insurance grounded-qa fine-tuning instruction bilingual,stylized,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+1570,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1570-882364.",insurance grounded-qa fine-tuning instruction bilingual,minimal,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+1571,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1571-316257.",insurance grounded-qa fine-tuning instruction bilingual,clean,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+1572,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1572-490673.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+1573,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: BILINGUAL; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1573-259930.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+1574,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; 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: 1574-748422.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+1575,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1575-592310.",insurance grounded-qa fine-tuning instruction bilingual,clean,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+1576,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1576-870708.",insurance grounded-qa fine-tuning instruction bilingual,stylized,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+1577,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; 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: 1577-189207.",insurance grounded-qa fine-tuning instruction bilingual,detailed,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+1578,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; 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: 1578-639707.",insurance grounded-qa fine-tuning instruction bilingual,detailed,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+1579,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1579-450745.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+1580,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1580-849576.",insurance grounded-qa fine-tuning instruction bilingual,detailed,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+1581,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: BILINGUAL; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1581-333754.",insurance grounded-qa fine-tuning instruction bilingual,detailed,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+1582,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1582-373846.",insurance grounded-qa fine-tuning instruction bilingual,minimal,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+1583,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: data scientist; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1583-713734.",insurance grounded-qa fine-tuning instruction bilingual,stylized,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+1584,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1584-514872.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+1585,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1585-692380.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+1586,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; 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: 1586-561718.",insurance grounded-qa fine-tuning instruction bilingual,clean,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+1587,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ai researcher; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1587-824184.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+1588,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1588-879663.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+1589,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1589-946063.",insurance grounded-qa fine-tuning instruction bilingual,stylized,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+1590,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; 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: 1590-710462.",insurance grounded-qa fine-tuning instruction bilingual,stylized,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+1591,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1591-981699.",insurance grounded-qa fine-tuning instruction bilingual,stylized,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+1592,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1592-284178.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+1593,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1593-344017.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+1594,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1594-739222.",insurance grounded-qa fine-tuning instruction bilingual,stylized,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+1595,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1595-103983.",insurance grounded-qa fine-tuning instruction bilingual,detailed,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+1596,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1596-729092.",insurance grounded-qa fine-tuning instruction bilingual,stylized,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+1597,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1597-787143.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+1598,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1598-989221.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+1599,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; 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: 1599-456417.",insurance grounded-qa fine-tuning instruction bilingual,clean,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+1600,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1600-785727.",insurance grounded-qa fine-tuning instruction bilingual,clean,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+1601,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1601-588265.",insurance grounded-qa fine-tuning instruction bilingual,minimal,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+1602,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-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: 1602-365025.",insurance grounded-qa fine-tuning instruction bilingual,minimal,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+1603,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1603-913016.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+1604,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: BILINGUAL; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1604-184516.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+1605,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1605-925194.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+1606,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1606-787757.",insurance grounded-qa fine-tuning instruction bilingual,clean,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+1607,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1607-698463.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+1608,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ml engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1608-692765.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+1609,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1609-655626.",insurance grounded-qa fine-tuning instruction bilingual,clean,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+1610,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1610-746121.",insurance grounded-qa fine-tuning instruction bilingual,minimal,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+1611,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: data scientist; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1611-285936.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+1612,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1612-399209.",insurance grounded-qa fine-tuning instruction bilingual,detailed,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+1613,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1613-456095.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+1614,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; 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: 1614-913603.",insurance grounded-qa fine-tuning instruction bilingual,minimal,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+1615,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: data scientist; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1615-923231.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+1616,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; 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: 1616-704563.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+1617,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1617-498858.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+1618,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1618-119019.",insurance grounded-qa fine-tuning instruction bilingual,minimal,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+1619,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; 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: 1619-411758.",insurance grounded-qa fine-tuning instruction bilingual,minimal,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+1620,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; 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: 1620-184783.",insurance grounded-qa fine-tuning instruction bilingual,clean,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+1621,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1621-646621.",insurance grounded-qa fine-tuning instruction bilingual,stylized,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+1622,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1622-631304.",insurance grounded-qa fine-tuning instruction bilingual,clean,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+1623,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1623-969981.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+1624,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1624-777899.",insurance grounded-qa fine-tuning instruction bilingual,stylized,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+1625,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: data scientist; Task: benchmarking; Format: long-context; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1625-634548.",insurance grounded-qa fine-tuning instruction bilingual,clean,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+1626,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1626-841663.",insurance grounded-qa fine-tuning instruction bilingual,minimal,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+1627,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; 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: 1627-784588.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+1628,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; 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: 1628-437866.",insurance grounded-qa fine-tuning instruction bilingual,detailed,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+1629,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1629-330455.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+1630,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1630-417080.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+1631,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: data scientist; Task: quality-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1631-519218.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+1632,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: data scientist; Task: grounding-check; Format: long-context; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1632-224360.",insurance grounded-qa fine-tuning instruction bilingual,detailed,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+1633,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1633-596431.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+1634,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; 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: 1634-525809.",insurance grounded-qa fine-tuning instruction bilingual,detailed,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+1635,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: platform engineer; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1635-621269.",insurance grounded-qa fine-tuning instruction bilingual,clean,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+1636,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1636-165190.",insurance grounded-qa fine-tuning instruction bilingual,clean,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+1637,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1637-479693.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+1638,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; 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: 1638-511355.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+1639,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1639-730027.",insurance grounded-qa fine-tuning instruction bilingual,stylized,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+1640,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1640-518052.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+1641,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1641-771821.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+1642,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: BILINGUAL; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1642-902638.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+1643,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1643-761136.",insurance grounded-qa fine-tuning instruction bilingual,detailed,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+1644,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1644-881046.",insurance grounded-qa fine-tuning instruction bilingual,minimal,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+1645,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1645-244186.",insurance grounded-qa fine-tuning instruction bilingual,clean,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+1646,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1646-670410.",insurance grounded-qa fine-tuning instruction bilingual,stylized,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+1647,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-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: 1647-780010.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+1648,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1648-821882.",insurance grounded-qa fine-tuning instruction bilingual,minimal,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+1649,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; 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: 1649-771584.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+1650,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1650-751867.",insurance grounded-qa fine-tuning instruction bilingual,detailed,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+1651,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: BILINGUAL; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1651-112735.",insurance grounded-qa fine-tuning instruction bilingual,clean,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+1652,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1652-377953.",insurance grounded-qa fine-tuning instruction bilingual,clean,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+1653,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1653-239044.",insurance grounded-qa fine-tuning instruction bilingual,minimal,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+1654,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1654-755830.",insurance grounded-qa fine-tuning instruction bilingual,stylized,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+1655,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ai researcher; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1655-903127.",insurance grounded-qa fine-tuning instruction bilingual,stylized,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+1656,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: BILINGUAL; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1656-948207.",insurance grounded-qa fine-tuning instruction bilingual,minimal,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+1657,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1657-986410.",insurance grounded-qa fine-tuning instruction bilingual,minimal,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+1658,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1658-417239.",insurance grounded-qa fine-tuning instruction bilingual,detailed,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+1659,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1659-297725.",insurance grounded-qa fine-tuning instruction bilingual,minimal,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+1660,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1660-424968.",insurance grounded-qa fine-tuning instruction bilingual,clean,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+1661,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1661-650110.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+1662,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1662-642737.",insurance grounded-qa fine-tuning instruction bilingual,clean,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+1663,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1663-873569.",insurance grounded-qa fine-tuning instruction bilingual,minimal,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+1664,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1664-156247.",insurance grounded-qa fine-tuning instruction bilingual,stylized,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+1665,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1665-565575.",insurance grounded-qa fine-tuning instruction bilingual,stylized,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+1666,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: platform engineer; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1666-495473.",insurance grounded-qa fine-tuning instruction bilingual,clean,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+1667,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1667-761794.",insurance grounded-qa fine-tuning instruction bilingual,minimal,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+1668,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: BILINGUAL; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1668-945443.",insurance grounded-qa fine-tuning instruction bilingual,detailed,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+1669,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1669-942406.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+1670,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-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: 1670-858160.",insurance grounded-qa fine-tuning instruction bilingual,minimal,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+1671,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1671-521866.",insurance grounded-qa fine-tuning instruction bilingual,minimal,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+1672,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1672-925247.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+1673,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-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: 1673-999888.",insurance grounded-qa fine-tuning instruction bilingual,clean,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+1674,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1674-294104.",insurance grounded-qa fine-tuning instruction bilingual,detailed,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+1675,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; 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: 1675-842282.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+1676,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ml engineer; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1676-399100.",insurance grounded-qa fine-tuning instruction bilingual,stylized,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+1677,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1677-783344.",insurance grounded-qa fine-tuning instruction bilingual,detailed,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+1678,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1678-272763.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+1679,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1679-878543.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+1680,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1680-691221.",insurance grounded-qa fine-tuning instruction bilingual,stylized,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+1681,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1681-316512.",insurance grounded-qa fine-tuning instruction bilingual,clean,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+1682,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1682-244943.",insurance grounded-qa fine-tuning instruction bilingual,detailed,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+1683,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1683-244701.",insurance grounded-qa fine-tuning instruction bilingual,minimal,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+1684,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: data scientist; Task: robustness-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1684-910841.",insurance grounded-qa fine-tuning instruction bilingual,detailed,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+1685,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-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: 1685-890760.",insurance grounded-qa fine-tuning instruction bilingual,clean,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+1686,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1686-385548.",insurance grounded-qa fine-tuning instruction bilingual,stylized,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+1687,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: BILINGUAL; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1687-574972.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+1688,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1688-153739.",insurance grounded-qa fine-tuning instruction bilingual,clean,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+1689,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1689-571706.",insurance grounded-qa fine-tuning instruction bilingual,stylized,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+1690,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-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: 1690-140485.",insurance grounded-qa fine-tuning instruction bilingual,clean,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+1691,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1691-374644.",insurance grounded-qa fine-tuning instruction bilingual,stylized,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+1692,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1692-179930.",insurance grounded-qa fine-tuning instruction bilingual,stylized,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+1693,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: data scientist; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1693-884164.",insurance grounded-qa fine-tuning instruction bilingual,minimal,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+1694,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1694-299315.",insurance grounded-qa fine-tuning instruction bilingual,minimal,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+1695,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1695-582607.",insurance grounded-qa fine-tuning instruction bilingual,minimal,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+1696,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; 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: 1696-103071.",insurance grounded-qa fine-tuning instruction bilingual,minimal,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+1697,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1697-113398.",insurance grounded-qa fine-tuning instruction bilingual,detailed,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+1698,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1698-241804.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+1699,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-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: 1699-267307.",insurance grounded-qa fine-tuning instruction bilingual,detailed,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+1700,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1700-303505.",insurance grounded-qa fine-tuning instruction bilingual,minimal,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+1701,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; 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: 1701-201013.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+1702,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1702-867635.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+1703,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1703-802070.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+1704,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1704-381002.",insurance grounded-qa fine-tuning instruction bilingual,minimal,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+1705,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1705-418844.",insurance grounded-qa fine-tuning instruction bilingual,detailed,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+1706,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: data scientist; Task: quality-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1706-764585.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+1707,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1707-336577.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+1708,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1708-835294.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+1709,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1709-495782.",insurance grounded-qa fine-tuning instruction bilingual,minimal,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+1710,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1710-504620.",insurance grounded-qa fine-tuning instruction bilingual,clean,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+1711,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: data scientist; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1711-479838.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+1712,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1712-115264.",insurance grounded-qa fine-tuning instruction bilingual,clean,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+1713,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: data scientist; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1713-976140.",insurance grounded-qa fine-tuning instruction bilingual,minimal,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+1714,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; 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: 1714-121933.",insurance grounded-qa fine-tuning instruction bilingual,minimal,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+1715,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1715-106979.",insurance grounded-qa fine-tuning instruction bilingual,detailed,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+1716,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1716-301967.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+1717,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: BILINGUAL; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1717-550010.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+1718,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: BILINGUAL; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1718-139836.",insurance grounded-qa fine-tuning instruction bilingual,detailed,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+1719,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; 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: 1719-740327.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+1720,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; 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: 1720-482858.",insurance grounded-qa fine-tuning instruction bilingual,stylized,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+1721,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1721-881524.",insurance grounded-qa fine-tuning instruction bilingual,stylized,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+1722,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1722-428333.",insurance grounded-qa fine-tuning instruction bilingual,clean,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+1723,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; 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: 1723-504559.",insurance grounded-qa fine-tuning instruction bilingual,stylized,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+1724,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1724-599827.",insurance grounded-qa fine-tuning instruction bilingual,stylized,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+1725,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: data scientist; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1725-534951.",insurance grounded-qa fine-tuning instruction bilingual,stylized,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+1726,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1726-237920.",insurance grounded-qa fine-tuning instruction bilingual,clean,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+1727,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: data scientist; Task: robustness-check; Format: long-context; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1727-107570.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+1728,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-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: 1728-371583.",insurance grounded-qa fine-tuning instruction bilingual,detailed,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+1729,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1729-365582.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+1730,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1730-695656.",insurance grounded-qa fine-tuning instruction bilingual,minimal,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+1731,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1731-710628.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+1732,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1732-361965.",insurance grounded-qa fine-tuning instruction bilingual,detailed,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+1733,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1733-888505.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+1734,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1734-734530.",insurance grounded-qa fine-tuning instruction bilingual,detailed,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+1735,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1735-521865.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+1736,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-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: 1736-943228.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+1737,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1737-168026.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+1738,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1738-403930.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+1739,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: data scientist; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1739-955614.",insurance grounded-qa fine-tuning instruction bilingual,detailed,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+1740,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1740-965864.",insurance grounded-qa fine-tuning instruction bilingual,clean,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+1741,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1741-613548.",insurance grounded-qa fine-tuning instruction bilingual,detailed,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+1742,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1742-201414.",insurance grounded-qa fine-tuning instruction bilingual,clean,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+1743,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1743-603340.",insurance grounded-qa fine-tuning instruction bilingual,minimal,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+1744,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: data scientist; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1744-143104.",insurance grounded-qa fine-tuning instruction bilingual,stylized,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+1745,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1745-283042.",insurance grounded-qa fine-tuning instruction bilingual,minimal,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+1746,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1746-578934.",insurance grounded-qa fine-tuning instruction bilingual,minimal,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+1747,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: data scientist; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1747-156616.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+1748,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1748-483726.",insurance grounded-qa fine-tuning instruction bilingual,minimal,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+1749,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1749-306180.",insurance grounded-qa fine-tuning instruction bilingual,clean,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+1750,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1750-418874.",insurance grounded-qa fine-tuning instruction bilingual,minimal,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+1751,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1751-102278.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+1752,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1752-609010.",insurance grounded-qa fine-tuning instruction bilingual,clean,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+1753,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1753-950962.",insurance grounded-qa fine-tuning instruction bilingual,minimal,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+1754,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1754-574032.",insurance grounded-qa fine-tuning instruction bilingual,stylized,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+1755,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ai researcher; Task: quality-check; Format: long-context; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1755-483781.",insurance grounded-qa fine-tuning instruction bilingual,minimal,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+1756,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: data scientist; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1756-398009.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+1757,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1757-780920.",insurance grounded-qa fine-tuning instruction bilingual,stylized,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+1758,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ml engineer; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1758-334010.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+1759,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1759-560791.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+1760,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1760-111004.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+1761,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1761-972768.",insurance grounded-qa fine-tuning instruction bilingual,stylized,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+1762,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1762-527982.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+1763,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: BILINGUAL; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1763-671727.",insurance grounded-qa fine-tuning instruction bilingual,detailed,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+1764,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; 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: 1764-431816.",insurance grounded-qa fine-tuning instruction bilingual,detailed,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+1765,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1765-843139.",insurance grounded-qa fine-tuning instruction bilingual,minimal,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+1766,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: BILINGUAL; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1766-937529.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+1767,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ml engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1767-801706.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+1768,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1768-691760.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+1769,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: data scientist; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1769-807524.",insurance grounded-qa fine-tuning instruction bilingual,stylized,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+1770,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1770-320234.",insurance grounded-qa fine-tuning instruction bilingual,detailed,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+1771,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1771-433649.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+1772,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1772-716725.",insurance grounded-qa fine-tuning instruction bilingual,detailed,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+1773,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1773-655116.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+1774,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1774-813190.",insurance grounded-qa fine-tuning instruction bilingual,detailed,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+1775,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1775-762662.",insurance grounded-qa fine-tuning instruction bilingual,clean,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+1776,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; 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: 1776-759414.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+1777,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1777-126313.",insurance grounded-qa fine-tuning instruction bilingual,clean,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+1778,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1778-988584.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+1779,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1779-368059.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+1780,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1780-758653.",insurance grounded-qa fine-tuning instruction bilingual,stylized,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+1781,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1781-359439.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+1782,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: data scientist; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1782-957126.",insurance grounded-qa fine-tuning instruction bilingual,minimal,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+1783,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1783-550324.",insurance grounded-qa fine-tuning instruction bilingual,stylized,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+1784,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: data scientist; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1784-388144.",insurance grounded-qa fine-tuning instruction bilingual,stylized,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+1785,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1785-127825.",insurance grounded-qa fine-tuning instruction bilingual,minimal,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+1786,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: data scientist; Task: quality-check; Format: long-context; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1786-981346.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+1787,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1787-782834.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+1788,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1788-380728.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+1789,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1789-865988.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+1790,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: BILINGUAL; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1790-409332.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+1791,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; 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: 1791-102947.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+1792,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1792-660245.",insurance grounded-qa fine-tuning instruction bilingual,clean,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+1793,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1793-697820.",insurance grounded-qa fine-tuning instruction bilingual,stylized,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+1794,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; 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: 1794-505236.",insurance grounded-qa fine-tuning instruction bilingual,clean,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+1795,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1795-957742.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+1796,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1796-874733.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+1797,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1797-153331.",insurance grounded-qa fine-tuning instruction bilingual,stylized,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+1798,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; 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: 1798-154348.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+1799,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1799-488055.",insurance grounded-qa fine-tuning instruction bilingual,minimal,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+1800,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1800-273467.",insurance grounded-qa fine-tuning instruction bilingual,clean,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+1801,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1801-443825.",insurance grounded-qa fine-tuning instruction bilingual,minimal,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+1802,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1802-847405.",insurance grounded-qa fine-tuning instruction bilingual,clean,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+1803,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1803-389518.",insurance grounded-qa fine-tuning instruction bilingual,minimal,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+1804,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1804-293176.",insurance grounded-qa fine-tuning instruction bilingual,stylized,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+1805,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1805-274961.",insurance grounded-qa fine-tuning instruction bilingual,stylized,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+1806,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1806-940270.",insurance grounded-qa fine-tuning instruction bilingual,stylized,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+1807,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1807-918798.",insurance grounded-qa fine-tuning instruction bilingual,stylized,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+1808,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-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: 1808-664052.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+1809,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: data scientist; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1809-966810.",insurance grounded-qa fine-tuning instruction bilingual,minimal,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+1810,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; 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: 1810-590070.",insurance grounded-qa fine-tuning instruction bilingual,detailed,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+1811,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; 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: 1811-930537.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+1812,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: BILINGUAL; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1812-974621.",insurance grounded-qa fine-tuning instruction bilingual,minimal,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+1813,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1813-891019.",insurance grounded-qa fine-tuning instruction bilingual,minimal,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+1814,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1814-999465.",insurance grounded-qa fine-tuning instruction bilingual,clean,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+1815,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1815-106509.",insurance grounded-qa fine-tuning instruction bilingual,clean,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+1816,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: data scientist; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1816-945872.",insurance grounded-qa fine-tuning instruction bilingual,clean,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+1817,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1817-668661.",insurance grounded-qa fine-tuning instruction bilingual,stylized,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+1818,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: data scientist; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1818-768268.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+1819,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: data scientist; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1819-410593.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+1820,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1820-350252.",insurance grounded-qa fine-tuning instruction bilingual,detailed,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+1821,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1821-584625.",insurance grounded-qa fine-tuning instruction bilingual,clean,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+1822,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: data scientist; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1822-471348.",insurance grounded-qa fine-tuning instruction bilingual,stylized,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+1823,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1823-743316.",insurance grounded-qa fine-tuning instruction bilingual,minimal,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+1824,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1824-312616.",insurance grounded-qa fine-tuning instruction bilingual,detailed,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+1825,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1825-169042.",insurance grounded-qa fine-tuning instruction bilingual,minimal,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+1826,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: data scientist; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1826-309842.",insurance grounded-qa fine-tuning instruction bilingual,detailed,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+1827,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1827-334585.",insurance grounded-qa fine-tuning instruction bilingual,clean,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+1828,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-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: 1828-222266.",insurance grounded-qa fine-tuning instruction bilingual,stylized,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+1829,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1829-322613.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+1830,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; 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: 1830-281163.",insurance grounded-qa fine-tuning instruction bilingual,minimal,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+1831,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; 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: 1831-704345.",insurance grounded-qa fine-tuning instruction bilingual,minimal,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+1832,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: BILINGUAL; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1832-848701.",insurance grounded-qa fine-tuning instruction bilingual,minimal,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+1833,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ai researcher; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1833-292086.",insurance grounded-qa fine-tuning instruction bilingual,clean,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+1834,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1834-655173.",insurance grounded-qa fine-tuning instruction bilingual,clean,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+1835,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: data scientist; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1835-918955.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+1836,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1836-842493.",insurance grounded-qa fine-tuning instruction bilingual,stylized,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+1837,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1837-546847.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+1838,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1838-280393.",insurance grounded-qa fine-tuning instruction bilingual,minimal,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+1839,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1839-146506.",insurance grounded-qa fine-tuning instruction bilingual,stylized,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+1840,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1840-943614.",insurance grounded-qa fine-tuning instruction bilingual,detailed,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+1841,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: data scientist; Task: grounding-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1841-573808.",insurance grounded-qa fine-tuning instruction bilingual,detailed,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+1842,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; 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: 1842-449157.",insurance grounded-qa fine-tuning instruction bilingual,clean,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+1843,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1843-931557.",insurance grounded-qa fine-tuning instruction bilingual,detailed,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+1844,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1844-787101.",insurance grounded-qa fine-tuning instruction bilingual,stylized,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+1845,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1845-592084.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+1846,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1846-390746.",insurance grounded-qa fine-tuning instruction bilingual,detailed,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+1847,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ml engineer; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1847-913381.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+1848,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1848-573094.",insurance grounded-qa fine-tuning instruction bilingual,detailed,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+1849,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1849-453132.",insurance grounded-qa fine-tuning instruction bilingual,clean,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+1850,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-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: 1850-383680.",insurance grounded-qa fine-tuning instruction bilingual,minimal,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+1851,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1851-319583.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+1852,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1852-497219.",insurance grounded-qa fine-tuning instruction bilingual,stylized,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+1853,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: data scientist; Task: quality-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1853-966287.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+1854,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-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: 1854-621012.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+1855,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1855-108224.",insurance grounded-qa fine-tuning instruction bilingual,detailed,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+1856,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1856-338300.",insurance grounded-qa fine-tuning instruction bilingual,stylized,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+1857,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1857-324680.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+1858,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1858-391580.",insurance grounded-qa fine-tuning instruction bilingual,clean,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+1859,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1859-207182.",insurance grounded-qa fine-tuning instruction bilingual,stylized,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+1860,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1860-358854.",insurance grounded-qa fine-tuning instruction bilingual,clean,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+1861,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1861-277035.",insurance grounded-qa fine-tuning instruction bilingual,minimal,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+1862,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: platform engineer; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1862-430081.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+1863,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1863-741434.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+1864,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1864-478498.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+1865,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: data scientist; Task: quality-check; Format: long-context; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1865-575440.",insurance grounded-qa fine-tuning instruction bilingual,stylized,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+1866,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1866-326534.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+1867,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; 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: 1867-367303.",insurance grounded-qa fine-tuning instruction bilingual,minimal,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+1868,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1868-804052.",insurance grounded-qa fine-tuning instruction bilingual,stylized,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+1869,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1869-825062.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+1870,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; 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: 1870-213251.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+1871,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ml engineer; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1871-978580.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+1872,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; 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: 1872-875779.",insurance grounded-qa fine-tuning instruction bilingual,clean,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+1873,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1873-702569.",insurance grounded-qa fine-tuning instruction bilingual,stylized,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+1874,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: data scientist; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1874-132282.",insurance grounded-qa fine-tuning instruction bilingual,stylized,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+1875,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1875-104755.",insurance grounded-qa fine-tuning instruction bilingual,detailed,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+1876,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1876-310706.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+1877,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1877-632678.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+1878,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-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: 1878-372040.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+1879,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: data scientist; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1879-657045.",insurance grounded-qa fine-tuning instruction bilingual,minimal,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+1880,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1880-125446.",insurance grounded-qa fine-tuning instruction bilingual,stylized,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+1881,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: BILINGUAL; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1881-697034.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+1882,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ml engineer; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1882-738721.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+1883,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1883-226588.",insurance grounded-qa fine-tuning instruction bilingual,stylized,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+1884,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: BILINGUAL; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1884-709533.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+1885,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1885-396860.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+1886,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: BILINGUAL; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1886-671397.",insurance grounded-qa fine-tuning instruction bilingual,clean,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+1887,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1887-583950.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+1888,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: BILINGUAL; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1888-571252.",insurance grounded-qa fine-tuning instruction bilingual,clean,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+1889,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-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: 1889-786945.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+1890,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1890-908086.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+1891,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1891-828310.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+1892,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: BILINGUAL; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1892-441192.",insurance grounded-qa fine-tuning instruction bilingual,clean,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+1893,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1893-769314.",insurance grounded-qa fine-tuning instruction bilingual,clean,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+1894,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1894-760269.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+1895,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1895-524562.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+1896,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-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: 1896-228230.",insurance grounded-qa fine-tuning instruction bilingual,minimal,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+1897,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: BILINGUAL; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1897-585085.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+1898,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1898-465663.",insurance grounded-qa fine-tuning instruction bilingual,detailed,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+1899,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1899-580140.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+1900,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1900-367880.",insurance grounded-qa fine-tuning instruction bilingual,minimal,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+1901,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: BILINGUAL; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1901-106984.",insurance grounded-qa fine-tuning instruction bilingual,minimal,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+1902,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: BILINGUAL; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1902-635281.",insurance grounded-qa fine-tuning instruction bilingual,clean,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+1903,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1903-814646.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+1904,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: BILINGUAL; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1904-793993.",insurance grounded-qa fine-tuning instruction bilingual,clean,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+1905,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; 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: 1905-184863.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+1906,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1906-592312.",insurance grounded-qa fine-tuning instruction bilingual,stylized,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+1907,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1907-960693.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+1908,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1908-414912.",insurance grounded-qa fine-tuning instruction bilingual,detailed,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+1909,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1909-852261.",insurance grounded-qa fine-tuning instruction bilingual,minimal,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+1910,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1910-423289.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+1911,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1911-607444.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+1912,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1912-245472.",insurance grounded-qa fine-tuning instruction bilingual,detailed,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+1913,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; 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: 1913-426113.",insurance grounded-qa fine-tuning instruction bilingual,clean,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+1914,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-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: 1914-553059.",insurance grounded-qa fine-tuning instruction bilingual,detailed,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+1915,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1915-985775.",insurance grounded-qa fine-tuning instruction bilingual,clean,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+1916,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1916-547465.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+1917,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1917-563546.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+1918,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1918-704528.",insurance grounded-qa fine-tuning instruction bilingual,stylized,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+1919,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1919-384024.",insurance grounded-qa fine-tuning instruction bilingual,detailed,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+1920,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; 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: 1920-851697.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+1921,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1921-398683.",insurance grounded-qa fine-tuning instruction bilingual,clean,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+1922,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; 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: 1922-461864.",insurance grounded-qa fine-tuning instruction bilingual,clean,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+1923,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1923-654837.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+1924,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1924-513717.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+1925,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1925-954000.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+1926,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1926-842495.",insurance grounded-qa fine-tuning instruction bilingual,clean,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+1927,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; 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: 1927-782256.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+1928,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1928-353481.",insurance grounded-qa fine-tuning instruction bilingual,stylized,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+1929,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1929-774188.",insurance grounded-qa fine-tuning instruction bilingual,clean,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+1930,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1930-244979.",insurance grounded-qa fine-tuning instruction bilingual,minimal,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+1931,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1931-348107.",insurance grounded-qa fine-tuning instruction bilingual,clean,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+1932,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; 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: 1932-163705.",insurance grounded-qa fine-tuning instruction bilingual,clean,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+1933,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; 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: 1933-765568.",insurance grounded-qa fine-tuning instruction bilingual,stylized,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+1934,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: BILINGUAL; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1934-799634.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+1935,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1935-673132.",insurance grounded-qa fine-tuning instruction bilingual,clean,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+1936,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1936-870566.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+1937,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ai researcher; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1937-603478.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+1938,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-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: 1938-569759.",insurance grounded-qa fine-tuning instruction bilingual,detailed,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+1939,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1939-328182.",insurance grounded-qa fine-tuning instruction bilingual,stylized,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+1940,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1940-104296.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+1941,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1941-646171.",insurance grounded-qa fine-tuning instruction bilingual,minimal,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+1942,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: data scientist; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1942-618126.",insurance grounded-qa fine-tuning instruction bilingual,minimal,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+1943,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: platform engineer; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1943-268283.",insurance grounded-qa fine-tuning instruction bilingual,stylized,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+1944,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1944-404618.",insurance grounded-qa fine-tuning instruction bilingual,detailed,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+1945,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: data scientist; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1945-790252.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+1946,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: data scientist; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1946-642823.",insurance grounded-qa fine-tuning instruction bilingual,detailed,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+1947,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-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: 1947-799555.",insurance grounded-qa fine-tuning instruction bilingual,detailed,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+1948,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1948-349566.",insurance grounded-qa fine-tuning instruction bilingual,minimal,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+1949,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; 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: 1949-215310.",insurance grounded-qa fine-tuning instruction bilingual,minimal,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+1950,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1950-616437.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+1951,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1951-649074.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+1952,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ml engineer; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1952-464439.",insurance grounded-qa fine-tuning instruction bilingual,stylized,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+1953,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1953-278271.",insurance grounded-qa fine-tuning instruction bilingual,stylized,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+1954,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1954-245682.",insurance grounded-qa fine-tuning instruction bilingual,clean,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+1955,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: platform engineer; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1955-791299.",insurance grounded-qa fine-tuning instruction bilingual,minimal,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+1956,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1956-933134.",insurance grounded-qa fine-tuning instruction bilingual,detailed,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+1957,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1957-465483.",insurance grounded-qa fine-tuning instruction bilingual,clean,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+1958,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1958-890633.",insurance grounded-qa fine-tuning instruction bilingual,clean,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+1959,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1959-145859.",insurance grounded-qa fine-tuning instruction bilingual,stylized,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+1960,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; 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: 1960-689981.",insurance grounded-qa fine-tuning instruction bilingual,stylized,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+1961,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1961-681588.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+1962,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: data scientist; Task: quality-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1962-916618.",insurance grounded-qa fine-tuning instruction bilingual,clean,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+1963,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1963-667038.",insurance grounded-qa fine-tuning instruction bilingual,stylized,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+1964,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1964-892649.",insurance grounded-qa fine-tuning instruction bilingual,stylized,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+1965,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1965-219780.",insurance grounded-qa fine-tuning instruction bilingual,stylized,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+1966,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1966-649478.",insurance grounded-qa fine-tuning instruction bilingual,detailed,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+1967,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ml engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1967-293210.",insurance grounded-qa fine-tuning instruction bilingual,clean,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+1968,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1968-174574.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+1969,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1969-375656.",insurance grounded-qa fine-tuning instruction bilingual,clean,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+1970,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; 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: 1970-211188.",insurance grounded-qa fine-tuning instruction bilingual,stylized,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+1971,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ml engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1971-843278.",insurance grounded-qa fine-tuning instruction bilingual,stylized,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+1972,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1972-933923.",insurance grounded-qa fine-tuning instruction bilingual,minimal,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+1973,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1973-355386.",insurance grounded-qa fine-tuning instruction bilingual,stylized,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+1974,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; 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: 1974-387000.",insurance grounded-qa fine-tuning instruction bilingual,stylized,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+1975,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; 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: 1975-264084.",insurance grounded-qa fine-tuning instruction bilingual,minimal,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+1976,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1976-415217.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+1977,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1977-758621.",insurance grounded-qa fine-tuning instruction bilingual,stylized,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+1978,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1978-121355.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+1979,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1979-986338.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+1980,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; 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: 1980-796833.",insurance grounded-qa fine-tuning instruction bilingual,stylized,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+1981,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1981-831775.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+1982,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1982-636488.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+1983,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; 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: 1983-288458.",insurance grounded-qa fine-tuning instruction bilingual,clean,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+1984,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; 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: 1984-220248.",insurance grounded-qa fine-tuning instruction bilingual,stylized,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+1985,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1985-699426.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+1986,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1986-953319.",insurance grounded-qa fine-tuning instruction bilingual,minimal,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+1987,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1987-567650.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+1988,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1988-666990.",insurance grounded-qa fine-tuning instruction bilingual,minimal,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+1989,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1989-506879.",insurance grounded-qa fine-tuning instruction bilingual,stylized,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+1990,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1990-391872.",insurance grounded-qa fine-tuning instruction bilingual,minimal,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+1991,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1991-134845.",insurance grounded-qa fine-tuning instruction bilingual,stylized,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+1992,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-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: 1992-563291.",insurance grounded-qa fine-tuning instruction bilingual,stylized,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+1993,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1993-660548.",insurance grounded-qa fine-tuning instruction bilingual,minimal,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+1994,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1994-216145.",insurance grounded-qa fine-tuning instruction bilingual,clean,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+1995,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1995-213597.",insurance grounded-qa fine-tuning instruction bilingual,clean,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+1996,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1996-566870.",insurance grounded-qa fine-tuning instruction bilingual,minimal,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+1997,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1997-276038.",insurance grounded-qa fine-tuning instruction bilingual,minimal,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+1998,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; 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: 1998-341599.",insurance grounded-qa fine-tuning instruction bilingual,stylized,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+1999,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1999-477137.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+2000,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: data scientist; Task: quality-check; Format: long-context; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2000-410131.",insurance grounded-qa fine-tuning instruction bilingual,clean,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+2001,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2001-554709.",insurance grounded-qa fine-tuning instruction bilingual,detailed,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+2002,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2002-290475.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+2003,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2003-770751.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+2004,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: data scientist; Task: grounding-check; Format: long-context; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2004-201913.",insurance grounded-qa fine-tuning instruction bilingual,minimal,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+2005,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2005-371062.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+2006,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; 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: 2006-800584.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+2007,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; 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: 2007-124301.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+2008,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2008-947264.",insurance grounded-qa fine-tuning instruction bilingual,stylized,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+2009,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2009-637597.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+2010,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2010-189543.",insurance grounded-qa fine-tuning instruction bilingual,stylized,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+2011,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2011-688164.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+2012,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2012-251117.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+2013,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2013-446171.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+2014,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ml engineer; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2014-793503.",insurance grounded-qa fine-tuning instruction bilingual,clean,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+2015,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2015-764826.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+2016,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2016-891161.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+2017,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2017-921847.",insurance grounded-qa fine-tuning instruction bilingual,detailed,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+2018,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2018-191884.",insurance grounded-qa fine-tuning instruction bilingual,minimal,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+2019,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: BILINGUAL; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2019-620046.",insurance grounded-qa fine-tuning instruction bilingual,minimal,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+2020,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: BILINGUAL; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2020-917653.",insurance grounded-qa fine-tuning instruction bilingual,minimal,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+2021,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2021-728257.",insurance grounded-qa fine-tuning instruction bilingual,clean,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+2022,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2022-766833.",insurance grounded-qa fine-tuning instruction bilingual,stylized,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+2023,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2023-134473.",insurance grounded-qa fine-tuning instruction bilingual,stylized,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+2024,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: data scientist; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2024-162335.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+2025,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2025-429402.",insurance grounded-qa fine-tuning instruction bilingual,minimal,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+2026,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2026-264596.",insurance grounded-qa fine-tuning instruction bilingual,minimal,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+2027,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2027-359950.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+2028,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2028-482477.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+2029,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2029-942949.",insurance grounded-qa fine-tuning instruction bilingual,minimal,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+2030,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2030-501200.",insurance grounded-qa fine-tuning instruction bilingual,stylized,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+2031,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; 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: 2031-685668.",insurance grounded-qa fine-tuning instruction bilingual,stylized,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+2032,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-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: 2032-670896.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+2033,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2033-920010.",insurance grounded-qa fine-tuning instruction bilingual,stylized,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+2034,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2034-540393.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+2035,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2035-447386.",insurance grounded-qa fine-tuning instruction bilingual,stylized,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+2036,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2036-951009.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+2037,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2037-373653.",insurance grounded-qa fine-tuning instruction bilingual,detailed,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+2038,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2038-536286.",insurance grounded-qa fine-tuning instruction bilingual,clean,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+2039,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-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: 2039-844651.",insurance grounded-qa fine-tuning instruction bilingual,minimal,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+2040,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2040-142550.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+2041,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: BILINGUAL; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2041-637691.",insurance grounded-qa fine-tuning instruction bilingual,detailed,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+2042,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2042-938301.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+2043,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2043-522178.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+2044,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2044-155778.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+2045,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2045-405168.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+2046,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2046-763349.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+2047,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-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: 2047-815947.",insurance grounded-qa fine-tuning instruction bilingual,clean,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+2048,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-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: 2048-303622.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+2049,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2049-647473.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+2050,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2050-236534.",insurance grounded-qa fine-tuning instruction bilingual,clean,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+2051,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2051-395849.",insurance grounded-qa fine-tuning instruction bilingual,minimal,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+2052,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2052-710389.",insurance grounded-qa fine-tuning instruction bilingual,stylized,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+2053,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2053-863060.",insurance grounded-qa fine-tuning instruction bilingual,detailed,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+2054,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2054-879833.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+2055,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2055-723960.",insurance grounded-qa fine-tuning instruction bilingual,minimal,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+2056,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2056-616511.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+2057,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2057-122957.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+2058,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2058-384640.",insurance grounded-qa fine-tuning instruction bilingual,clean,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+2059,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2059-452366.",insurance grounded-qa fine-tuning instruction bilingual,minimal,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+2060,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: data scientist; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2060-149688.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+2061,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2061-539967.",insurance grounded-qa fine-tuning instruction bilingual,minimal,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+2062,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2062-241843.",insurance grounded-qa fine-tuning instruction bilingual,detailed,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+2063,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2063-822202.",insurance grounded-qa fine-tuning instruction bilingual,stylized,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+2064,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2064-628456.",insurance grounded-qa fine-tuning instruction bilingual,clean,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+2065,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2065-703997.",insurance grounded-qa fine-tuning instruction bilingual,minimal,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+2066,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; 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: 2066-691647.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+2067,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2067-608806.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+2068,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2068-581071.",insurance grounded-qa fine-tuning instruction bilingual,detailed,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+2069,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2069-330543.",insurance grounded-qa fine-tuning instruction bilingual,clean,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+2070,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: BILINGUAL; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2070-290185.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+2071,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2071-772509.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+2072,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2072-326681.",insurance grounded-qa fine-tuning instruction bilingual,minimal,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+2073,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2073-299102.",insurance grounded-qa fine-tuning instruction bilingual,minimal,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+2074,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; 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: 2074-273234.",insurance grounded-qa fine-tuning instruction bilingual,minimal,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+2075,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2075-376121.",insurance grounded-qa fine-tuning instruction bilingual,stylized,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+2076,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2076-882152.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+2077,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-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: 2077-526586.",insurance grounded-qa fine-tuning instruction bilingual,detailed,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+2078,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2078-925734.",insurance grounded-qa fine-tuning instruction bilingual,stylized,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+2079,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2079-564327.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+2080,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2080-767970.",insurance grounded-qa fine-tuning instruction bilingual,detailed,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+2081,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2081-530305.",insurance grounded-qa fine-tuning instruction bilingual,detailed,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+2082,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2082-749556.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+2083,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: data scientist; Task: benchmarking; Format: long-context; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2083-139385.",insurance grounded-qa fine-tuning instruction bilingual,clean,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+2084,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; 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: 2084-890819.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+2085,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2085-219303.",insurance grounded-qa fine-tuning instruction bilingual,stylized,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+2086,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2086-852545.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+2087,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2087-995745.",insurance grounded-qa fine-tuning instruction bilingual,minimal,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+2088,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2088-709654.",insurance grounded-qa fine-tuning instruction bilingual,minimal,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+2089,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2089-492335.",insurance grounded-qa fine-tuning instruction bilingual,minimal,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+2090,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2090-168989.",insurance grounded-qa fine-tuning instruction bilingual,detailed,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+2091,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2091-716556.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+2092,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; 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: 2092-666954.",insurance grounded-qa fine-tuning instruction bilingual,stylized,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+2093,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: platform engineer; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2093-317785.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+2094,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2094-937911.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+2095,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-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: 2095-489126.",insurance grounded-qa fine-tuning instruction bilingual,clean,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+2096,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2096-867931.",insurance grounded-qa fine-tuning instruction bilingual,minimal,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+2097,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: BILINGUAL; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2097-932749.",insurance grounded-qa fine-tuning instruction bilingual,stylized,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+2098,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2098-584149.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+2099,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: data scientist; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2099-834293.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+2100,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-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: 2100-503777.",insurance grounded-qa fine-tuning instruction bilingual,clean,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+2101,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2101-719156.",insurance grounded-qa fine-tuning instruction bilingual,detailed,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+2102,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: data scientist; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2102-439808.",insurance grounded-qa fine-tuning instruction bilingual,detailed,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+2103,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: BILINGUAL; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2103-892717.",insurance grounded-qa fine-tuning instruction bilingual,detailed,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+2104,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; 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: 2104-645273.",insurance grounded-qa fine-tuning instruction bilingual,stylized,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+2105,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2105-566789.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+2106,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2106-556088.",insurance grounded-qa fine-tuning instruction bilingual,detailed,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+2107,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2107-267266.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+2108,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: BILINGUAL; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2108-637813.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+2109,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2109-552775.",insurance grounded-qa fine-tuning instruction bilingual,clean,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+2110,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: data scientist; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2110-860250.",insurance grounded-qa fine-tuning instruction bilingual,detailed,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+2111,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2111-357311.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+2112,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2112-605569.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+2113,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2113-899423.",insurance grounded-qa fine-tuning instruction bilingual,clean,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+2114,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ai researcher; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2114-708761.",insurance grounded-qa fine-tuning instruction bilingual,detailed,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+2115,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-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: 2115-330188.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+2116,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2116-733493.",insurance grounded-qa fine-tuning instruction bilingual,stylized,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+2117,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: BILINGUAL; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2117-465930.",insurance grounded-qa fine-tuning instruction bilingual,stylized,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+2118,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2118-183878.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+2119,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2119-582295.",insurance grounded-qa fine-tuning instruction bilingual,minimal,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+2120,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2120-786717.",insurance grounded-qa fine-tuning instruction bilingual,detailed,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+2121,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2121-806409.",insurance grounded-qa fine-tuning instruction bilingual,clean,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+2122,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2122-501512.",insurance grounded-qa fine-tuning instruction bilingual,clean,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+2123,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2123-533006.",insurance grounded-qa fine-tuning instruction bilingual,detailed,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+2124,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2124-936774.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+2125,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; 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: 2125-817240.",insurance grounded-qa fine-tuning instruction bilingual,detailed,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+2126,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2126-883212.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+2127,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-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: 2127-740823.",insurance grounded-qa fine-tuning instruction bilingual,clean,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+2128,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2128-838461.",insurance grounded-qa fine-tuning instruction bilingual,detailed,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+2129,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: BILINGUAL; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2129-649385.",insurance grounded-qa fine-tuning instruction bilingual,stylized,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+2130,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2130-587606.",insurance grounded-qa fine-tuning instruction bilingual,detailed,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+2131,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2131-100568.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+2132,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2132-627859.",insurance grounded-qa fine-tuning instruction bilingual,minimal,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+2133,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2133-191937.",insurance grounded-qa fine-tuning instruction bilingual,stylized,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+2134,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2134-105261.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+2135,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2135-918845.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+2136,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ai researcher; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2136-345375.",insurance grounded-qa fine-tuning instruction bilingual,stylized,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+2137,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; 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: 2137-940811.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+2138,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; 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: 2138-394717.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+2139,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: data scientist; Task: robustness-check; Format: long-context; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2139-967559.",insurance grounded-qa fine-tuning instruction bilingual,minimal,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+2140,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: data scientist; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2140-684524.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+2141,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2141-260858.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+2142,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: data scientist; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2142-466722.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+2143,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2143-530044.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+2144,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2144-847894.",insurance grounded-qa fine-tuning instruction bilingual,clean,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+2145,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: data scientist; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2145-527698.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+2146,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2146-732151.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+2147,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2147-422415.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+2148,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ml engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2148-839782.",insurance grounded-qa fine-tuning instruction bilingual,detailed,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+2149,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: data scientist; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2149-980633.",insurance grounded-qa fine-tuning instruction bilingual,minimal,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+2150,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2150-221185.",insurance grounded-qa fine-tuning instruction bilingual,clean,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+2151,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2151-883597.",insurance grounded-qa fine-tuning instruction bilingual,detailed,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+2152,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2152-263756.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+2153,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2153-121112.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+2154,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2154-513325.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+2155,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: BILINGUAL; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2155-720817.",insurance grounded-qa fine-tuning instruction bilingual,clean,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+2156,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-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: 2156-716219.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+2157,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2157-931273.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+2158,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2158-906775.",insurance grounded-qa fine-tuning instruction bilingual,stylized,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+2159,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; 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: 2159-409335.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+2160,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2160-391127.",insurance grounded-qa fine-tuning instruction bilingual,clean,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+2161,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: BILINGUAL; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2161-648930.",insurance grounded-qa fine-tuning instruction bilingual,minimal,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+2162,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2162-397857.",insurance grounded-qa fine-tuning instruction bilingual,stylized,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+2163,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; 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: 2163-758479.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+2164,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: data scientist; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2164-740950.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+2165,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-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: 2165-958348.",insurance grounded-qa fine-tuning instruction bilingual,stylized,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+2166,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2166-752684.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+2167,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2167-902514.",insurance grounded-qa fine-tuning instruction bilingual,detailed,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+2168,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; 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: 2168-673397.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+2169,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2169-508598.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+2170,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2170-255866.",insurance grounded-qa fine-tuning instruction bilingual,stylized,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+2171,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2171-271379.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+2172,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: data scientist; Task: benchmarking; Format: long-context; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2172-984485.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+2173,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2173-562568.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+2174,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2174-430092.",insurance grounded-qa fine-tuning instruction bilingual,clean,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+2175,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2175-894027.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+2176,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: data scientist; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2176-302371.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+2177,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: data scientist; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2177-336962.",insurance grounded-qa fine-tuning instruction bilingual,detailed,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+2178,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2178-564368.",insurance grounded-qa fine-tuning instruction bilingual,detailed,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+2179,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2179-753551.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+2180,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2180-460369.",insurance grounded-qa fine-tuning instruction bilingual,clean,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+2181,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-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: 2181-672371.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+2182,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2182-879595.",insurance grounded-qa fine-tuning instruction bilingual,clean,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+2183,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; 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: 2183-158112.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+2184,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2184-343726.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+2185,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2185-140273.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+2186,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: data scientist; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2186-391769.",insurance grounded-qa fine-tuning instruction bilingual,clean,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+2187,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2187-559944.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+2188,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2188-982657.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+2189,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2189-735450.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+2190,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2190-268801.",insurance grounded-qa fine-tuning instruction bilingual,clean,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+2191,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2191-676242.",insurance grounded-qa fine-tuning instruction bilingual,minimal,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+2192,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2192-523589.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+2193,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: BILINGUAL; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2193-299299.",insurance grounded-qa fine-tuning instruction bilingual,minimal,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+2194,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2194-979673.",insurance grounded-qa fine-tuning instruction bilingual,stylized,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+2195,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2195-289413.",insurance grounded-qa fine-tuning instruction bilingual,clean,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+2196,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2196-852688.",insurance grounded-qa fine-tuning instruction bilingual,minimal,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+2197,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; 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: 2197-264813.",insurance grounded-qa fine-tuning instruction bilingual,clean,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+2198,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-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: 2198-629646.",insurance grounded-qa fine-tuning instruction bilingual,stylized,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+2199,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2199-573908.",insurance grounded-qa fine-tuning instruction bilingual,clean,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+2200,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; 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: 2200-279504.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+2201,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2201-770365.",insurance grounded-qa fine-tuning instruction bilingual,minimal,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+2202,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: BILINGUAL; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2202-729644.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+2203,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-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: 2203-398011.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+2204,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2204-849490.",insurance grounded-qa fine-tuning instruction bilingual,stylized,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+2205,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2205-546606.",insurance grounded-qa fine-tuning instruction bilingual,minimal,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+2206,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-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: 2206-107673.",insurance grounded-qa fine-tuning instruction bilingual,detailed,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+2207,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2207-649154.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+2208,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: data scientist; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2208-257215.",insurance grounded-qa fine-tuning instruction bilingual,stylized,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+2209,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2209-795353.",insurance grounded-qa fine-tuning instruction bilingual,minimal,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+2210,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ai researcher; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2210-682804.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+2211,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2211-222948.",insurance grounded-qa fine-tuning instruction bilingual,stylized,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+2212,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2212-256437.",insurance grounded-qa fine-tuning instruction bilingual,stylized,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+2213,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; 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: 2213-967356.",insurance grounded-qa fine-tuning instruction bilingual,stylized,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+2214,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; 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: 2214-652488.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+2215,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: BILINGUAL; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2215-397538.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+2216,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; 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: 2216-154028.",insurance grounded-qa fine-tuning instruction bilingual,minimal,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+2217,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-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: 2217-150557.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+2218,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: data scientist; Task: robustness-check; Format: long-context; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2218-405525.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+2219,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2219-624569.",insurance grounded-qa fine-tuning instruction bilingual,minimal,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+2220,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2220-899709.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+2221,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2221-971910.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+2222,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; 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: 2222-884371.",insurance grounded-qa fine-tuning instruction bilingual,minimal,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+2223,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2223-112494.",insurance grounded-qa fine-tuning instruction bilingual,clean,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+2224,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2224-361661.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+2225,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2225-968290.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+2226,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2226-318955.",insurance grounded-qa fine-tuning instruction bilingual,minimal,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+2227,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2227-147659.",insurance grounded-qa fine-tuning instruction bilingual,clean,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+2228,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2228-117879.",insurance grounded-qa fine-tuning instruction bilingual,clean,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+2229,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; 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: 2229-925410.",insurance grounded-qa fine-tuning instruction bilingual,minimal,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+2230,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; 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: 2230-176079.",insurance grounded-qa fine-tuning instruction bilingual,minimal,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+2231,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; 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: 2231-329745.",insurance grounded-qa fine-tuning instruction bilingual,clean,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+2232,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2232-944560.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+2233,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-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: 2233-216408.",insurance grounded-qa fine-tuning instruction bilingual,detailed,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+2234,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: BILINGUAL; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2234-245867.",insurance grounded-qa fine-tuning instruction bilingual,detailed,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+2235,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ml engineer; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2235-116097.",insurance grounded-qa fine-tuning instruction bilingual,clean,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+2236,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2236-281890.",insurance grounded-qa fine-tuning instruction bilingual,clean,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+2237,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: BILINGUAL; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2237-790532.",insurance grounded-qa fine-tuning instruction bilingual,minimal,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+2238,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; 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: 2238-689097.",insurance grounded-qa fine-tuning instruction bilingual,clean,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+2239,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; 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: 2239-156475.",insurance grounded-qa fine-tuning instruction bilingual,clean,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+2240,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2240-174697.",insurance grounded-qa fine-tuning instruction bilingual,clean,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+2241,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2241-115817.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+2242,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2242-997655.",insurance grounded-qa fine-tuning instruction bilingual,minimal,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+2243,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2243-700398.",insurance grounded-qa fine-tuning instruction bilingual,clean,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+2244,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2244-967758.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+2245,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; 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: 2245-128904.",insurance grounded-qa fine-tuning instruction bilingual,detailed,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+2246,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2246-214460.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+2247,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2247-647881.",insurance grounded-qa fine-tuning instruction bilingual,clean,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+2248,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2248-721207.",insurance grounded-qa fine-tuning instruction bilingual,detailed,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+2249,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; 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: 2249-115822.",insurance grounded-qa fine-tuning instruction bilingual,detailed,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+2250,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: data scientist; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2250-569763.",insurance grounded-qa fine-tuning instruction bilingual,minimal,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+2251,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: data scientist; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2251-707372.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+2252,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2252-780414.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+2253,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2253-697427.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+2254,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2254-773761.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+2255,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2255-308679.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+2256,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2256-890316.",insurance grounded-qa fine-tuning instruction bilingual,stylized,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+2257,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2257-271210.",insurance grounded-qa fine-tuning instruction bilingual,minimal,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+2258,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; 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: 2258-771228.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+2259,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2259-300619.",insurance grounded-qa fine-tuning instruction bilingual,detailed,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+2260,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: BILINGUAL; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2260-889625.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+2261,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2261-734455.",insurance grounded-qa fine-tuning instruction bilingual,clean,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+2262,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: BILINGUAL; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2262-220580.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+2263,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: data scientist; Task: grounding-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2263-248883.",insurance grounded-qa fine-tuning instruction bilingual,stylized,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+2264,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: BILINGUAL; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2264-781052.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+2265,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2265-126657.",insurance grounded-qa fine-tuning instruction bilingual,minimal,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+2266,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2266-681209.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+2267,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2267-172792.",insurance grounded-qa fine-tuning instruction bilingual,stylized,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+2268,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2268-769159.",insurance grounded-qa fine-tuning instruction bilingual,clean,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+2269,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ml engineer; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2269-350297.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+2270,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2270-180045.",insurance grounded-qa fine-tuning instruction bilingual,clean,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+2271,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2271-330229.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+2272,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2272-943420.",insurance grounded-qa fine-tuning instruction bilingual,detailed,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+2273,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: data scientist; Task: benchmarking; Format: long-context; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2273-669774.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+2274,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2274-800371.",insurance grounded-qa fine-tuning instruction bilingual,detailed,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+2275,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2275-330441.",insurance grounded-qa fine-tuning instruction bilingual,clean,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+2276,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2276-514939.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+2277,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ml engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2277-239280.",insurance grounded-qa fine-tuning instruction bilingual,detailed,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+2278,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; 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: 2278-166432.",insurance grounded-qa fine-tuning instruction bilingual,detailed,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+2279,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; 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: 2279-277825.",insurance grounded-qa fine-tuning instruction bilingual,stylized,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+2280,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2280-376185.",insurance grounded-qa fine-tuning instruction bilingual,detailed,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+2281,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2281-964717.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+2282,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2282-856244.",insurance grounded-qa fine-tuning instruction bilingual,minimal,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+2283,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2283-251438.",insurance grounded-qa fine-tuning instruction bilingual,minimal,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+2284,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2284-720851.",insurance grounded-qa fine-tuning instruction bilingual,clean,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+2285,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: platform engineer; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2285-462481.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+2286,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; 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: 2286-530164.",insurance grounded-qa fine-tuning instruction bilingual,clean,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+2287,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2287-874929.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+2288,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: BILINGUAL; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2288-368140.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+2289,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; 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: 2289-470678.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+2290,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2290-568964.",insurance grounded-qa fine-tuning instruction bilingual,minimal,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+2291,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; 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: 2291-315158.",insurance grounded-qa fine-tuning instruction bilingual,clean,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+2292,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ai researcher; Task: quality-check; Format: long-context; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2292-105734.",insurance grounded-qa fine-tuning instruction bilingual,clean,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+2293,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: data scientist; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2293-452769.",insurance grounded-qa fine-tuning instruction bilingual,detailed,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+2294,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-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: 2294-426204.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+2295,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2295-496450.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+2296,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2296-512814.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+2297,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2297-425416.",insurance grounded-qa fine-tuning instruction bilingual,detailed,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+2298,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2298-786341.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+2299,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; 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: 2299-543016.",insurance grounded-qa fine-tuning instruction bilingual,detailed,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+2300,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2300-912118.",insurance grounded-qa fine-tuning instruction bilingual,minimal,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+2301,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2301-431899.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+2302,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2302-927590.",insurance grounded-qa fine-tuning instruction bilingual,clean,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+2303,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2303-516280.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+2304,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2304-382317.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+2305,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2305-124678.",insurance grounded-qa fine-tuning instruction bilingual,stylized,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+2306,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2306-343876.",insurance grounded-qa fine-tuning instruction bilingual,detailed,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+2307,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2307-117004.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+2308,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2308-515936.",insurance grounded-qa fine-tuning instruction bilingual,minimal,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+2309,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2309-657613.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+2310,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: data scientist; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2310-944139.",insurance grounded-qa fine-tuning instruction bilingual,minimal,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+2311,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2311-170312.",insurance grounded-qa fine-tuning instruction bilingual,clean,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+2312,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: data scientist; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2312-718951.",insurance grounded-qa fine-tuning instruction bilingual,clean,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+2313,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ml engineer; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2313-798897.",insurance grounded-qa fine-tuning instruction bilingual,minimal,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+2314,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; 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: 2314-824870.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+2315,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2315-323170.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+2316,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: data scientist; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2316-941368.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+2317,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2317-350261.",insurance grounded-qa fine-tuning instruction bilingual,stylized,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+2318,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: data scientist; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2318-831607.",insurance grounded-qa fine-tuning instruction bilingual,clean,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+2319,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2319-171416.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+2320,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2320-481853.",insurance grounded-qa fine-tuning instruction bilingual,clean,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+2321,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2321-874632.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+2322,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2322-536621.",insurance grounded-qa fine-tuning instruction bilingual,detailed,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+2323,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2323-450452.",insurance grounded-qa fine-tuning instruction bilingual,clean,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+2324,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2324-742721.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+2325,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ml engineer; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2325-562210.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+2326,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2326-829487.",insurance grounded-qa fine-tuning instruction bilingual,detailed,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+2327,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2327-637944.",insurance grounded-qa fine-tuning instruction bilingual,detailed,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+2328,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2328-105261.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+2329,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2329-435429.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+2330,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2330-880042.",insurance grounded-qa fine-tuning instruction bilingual,stylized,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+2331,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2331-554638.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+2332,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2332-717013.",insurance grounded-qa fine-tuning instruction bilingual,clean,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+2333,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2333-892660.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+2334,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2334-436081.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+2335,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2335-418271.",insurance grounded-qa fine-tuning instruction bilingual,stylized,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+2336,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2336-795956.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+2337,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-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: 2337-803021.",insurance grounded-qa fine-tuning instruction bilingual,clean,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+2338,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2338-506320.",insurance grounded-qa fine-tuning instruction bilingual,minimal,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+2339,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2339-682944.",insurance grounded-qa fine-tuning instruction bilingual,clean,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+2340,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2340-733460.",insurance grounded-qa fine-tuning instruction bilingual,minimal,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+2341,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2341-825811.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+2342,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2342-869666.",insurance grounded-qa fine-tuning instruction bilingual,minimal,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+2343,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ml engineer; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2343-503431.",insurance grounded-qa fine-tuning instruction bilingual,minimal,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+2344,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: BILINGUAL; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2344-794093.",insurance grounded-qa fine-tuning instruction bilingual,stylized,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+2345,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2345-414089.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+2346,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2346-543868.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+2347,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2347-899025.",insurance grounded-qa fine-tuning instruction bilingual,detailed,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+2348,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ml engineer; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2348-435328.",insurance grounded-qa fine-tuning instruction bilingual,detailed,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+2349,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; 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: 2349-129091.",insurance grounded-qa fine-tuning instruction bilingual,minimal,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+2350,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; 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: 2350-774144.",insurance grounded-qa fine-tuning instruction bilingual,detailed,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+2351,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; 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: 2351-411894.",insurance grounded-qa fine-tuning instruction bilingual,detailed,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+2352,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2352-609303.",insurance grounded-qa fine-tuning instruction bilingual,detailed,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+2353,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2353-951852.",insurance grounded-qa fine-tuning instruction bilingual,stylized,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+2354,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2354-322660.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+2355,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2355-451810.",insurance grounded-qa fine-tuning instruction bilingual,stylized,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+2356,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2356-701666.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+2357,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2357-939081.",insurance grounded-qa fine-tuning instruction bilingual,stylized,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+2358,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2358-317791.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+2359,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; 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: 2359-932998.",insurance grounded-qa fine-tuning instruction bilingual,detailed,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+2360,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2360-508129.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+2361,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-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: 2361-214865.",insurance grounded-qa fine-tuning instruction bilingual,clean,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+2362,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2362-161979.",insurance grounded-qa fine-tuning instruction bilingual,clean,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+2363,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2363-442370.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+2364,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2364-128411.",insurance grounded-qa fine-tuning instruction bilingual,detailed,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+2365,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2365-614984.",insurance grounded-qa fine-tuning instruction bilingual,detailed,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+2366,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; 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: 2366-657826.",insurance grounded-qa fine-tuning instruction bilingual,stylized,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+2367,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: data scientist; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2367-668861.",insurance grounded-qa fine-tuning instruction bilingual,detailed,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+2368,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2368-932847.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+2369,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2369-842626.",insurance grounded-qa fine-tuning instruction bilingual,clean,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+2370,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2370-596548.",insurance grounded-qa fine-tuning instruction bilingual,clean,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+2371,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2371-638815.",insurance grounded-qa fine-tuning instruction bilingual,clean,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+2372,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2372-689879.",insurance grounded-qa fine-tuning instruction bilingual,clean,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+2373,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2373-915587.",insurance grounded-qa fine-tuning instruction bilingual,stylized,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+2374,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2374-166163.",insurance grounded-qa fine-tuning instruction bilingual,stylized,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+2375,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2375-670391.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+2376,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2376-511972.",insurance grounded-qa fine-tuning instruction bilingual,stylized,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+2377,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2377-319264.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+2378,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2378-608741.",insurance grounded-qa fine-tuning instruction bilingual,clean,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+2379,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2379-361443.",insurance grounded-qa fine-tuning instruction bilingual,stylized,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+2380,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2380-718655.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+2381,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2381-569538.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+2382,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2382-876338.",insurance grounded-qa fine-tuning instruction bilingual,minimal,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+2383,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ai researcher; Task: quality-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2383-785448.",insurance grounded-qa fine-tuning instruction bilingual,minimal,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+2384,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; 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: 2384-136162.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+2385,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2385-902203.",insurance grounded-qa fine-tuning instruction bilingual,detailed,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+2386,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2386-938779.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+2387,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: data scientist; Task: benchmarking; Format: long-context; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2387-670251.",insurance grounded-qa fine-tuning instruction bilingual,stylized,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+2388,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2388-353374.",insurance grounded-qa fine-tuning instruction bilingual,detailed,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+2389,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: BILINGUAL; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2389-170935.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+2390,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2390-168612.",insurance grounded-qa fine-tuning instruction bilingual,clean,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+2391,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2391-307845.",insurance grounded-qa fine-tuning instruction bilingual,stylized,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+2392,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2392-743310.",insurance grounded-qa fine-tuning instruction bilingual,stylized,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+2393,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2393-293367.",insurance grounded-qa fine-tuning instruction bilingual,detailed,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+2394,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2394-205281.",insurance grounded-qa fine-tuning instruction bilingual,stylized,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+2395,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2395-242071.",insurance grounded-qa fine-tuning instruction bilingual,clean,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+2396,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; 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: 2396-828107.",insurance grounded-qa fine-tuning instruction bilingual,stylized,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+2397,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2397-157455.",insurance grounded-qa fine-tuning instruction bilingual,clean,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+2398,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2398-974378.",insurance grounded-qa fine-tuning instruction bilingual,stylized,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+2399,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2399-488294.",insurance grounded-qa fine-tuning instruction bilingual,clean,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+2400,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2400-882418.",insurance grounded-qa fine-tuning instruction bilingual,detailed,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+2401,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: data scientist; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2401-796910.",insurance grounded-qa fine-tuning instruction bilingual,stylized,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+2402,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: BILINGUAL; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2402-728188.",insurance grounded-qa fine-tuning instruction bilingual,detailed,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+2403,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2403-227121.",insurance grounded-qa fine-tuning instruction bilingual,clean,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+2404,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2404-217996.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+2405,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-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: 2405-503354.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+2406,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2406-993955.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+2407,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2407-415707.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+2408,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-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: 2408-526717.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+2409,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; 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: 2409-835890.",insurance grounded-qa fine-tuning instruction bilingual,detailed,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+2410,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2410-421071.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+2411,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2411-930443.",insurance grounded-qa fine-tuning instruction bilingual,stylized,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+2412,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2412-798618.",insurance grounded-qa fine-tuning instruction bilingual,clean,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+2413,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2413-670045.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+2414,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2414-917381.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+2415,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2415-758898.",insurance grounded-qa fine-tuning instruction bilingual,clean,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+2416,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2416-457482.",insurance grounded-qa fine-tuning instruction bilingual,detailed,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+2417,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2417-331393.",insurance grounded-qa fine-tuning instruction bilingual,detailed,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+2418,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2418-593009.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+2419,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2419-479662.",insurance grounded-qa fine-tuning instruction bilingual,clean,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+2420,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2420-217649.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+2421,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2421-984204.",insurance grounded-qa fine-tuning instruction bilingual,clean,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+2422,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2422-892926.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+2423,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2423-665059.",insurance grounded-qa fine-tuning instruction bilingual,detailed,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+2424,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2424-417137.",insurance grounded-qa fine-tuning instruction bilingual,clean,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+2425,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2425-722278.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+2426,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2426-464513.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+2427,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2427-712622.",insurance grounded-qa fine-tuning instruction bilingual,detailed,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+2428,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2428-796762.",insurance grounded-qa fine-tuning instruction bilingual,minimal,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+2429,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2429-844231.",insurance grounded-qa fine-tuning instruction bilingual,clean,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+2430,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2430-900969.",insurance grounded-qa fine-tuning instruction bilingual,minimal,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+2431,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: data scientist; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2431-421287.",insurance grounded-qa fine-tuning instruction bilingual,minimal,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+2432,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: platform engineer; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2432-646722.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+2433,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2433-847100.",insurance grounded-qa fine-tuning instruction bilingual,minimal,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+2434,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: BILINGUAL; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2434-690454.",insurance grounded-qa fine-tuning instruction bilingual,stylized,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+2435,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; 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: 2435-142567.",insurance grounded-qa fine-tuning instruction bilingual,minimal,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+2436,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2436-267830.",insurance grounded-qa fine-tuning instruction bilingual,detailed,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+2437,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2437-286335.",insurance grounded-qa fine-tuning instruction bilingual,stylized,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+2438,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2438-464956.",insurance grounded-qa fine-tuning instruction bilingual,detailed,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+2439,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: data scientist; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2439-456885.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+2440,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2440-615691.",insurance grounded-qa fine-tuning instruction bilingual,minimal,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+2441,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2441-769242.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+2442,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2442-863525.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+2443,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2443-941603.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+2444,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2444-474576.",insurance grounded-qa fine-tuning instruction bilingual,clean,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+2445,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2445-443060.",insurance grounded-qa fine-tuning instruction bilingual,stylized,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+2446,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2446-405987.",insurance grounded-qa fine-tuning instruction bilingual,minimal,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+2447,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; 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: 2447-997734.",insurance grounded-qa fine-tuning instruction bilingual,stylized,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+2448,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2448-762971.",insurance grounded-qa fine-tuning instruction bilingual,detailed,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+2449,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2449-354422.",insurance grounded-qa fine-tuning instruction bilingual,clean,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+2450,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ai researcher; Task: quality-check; Format: long-context; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2450-162019.",insurance grounded-qa fine-tuning instruction bilingual,stylized,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+2451,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: data scientist; Task: benchmarking; Format: long-context; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2451-305184.",insurance grounded-qa fine-tuning instruction bilingual,clean,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+2452,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2452-342436.",insurance grounded-qa fine-tuning instruction bilingual,minimal,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+2453,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2453-784936.",insurance grounded-qa fine-tuning instruction bilingual,clean,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+2454,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2454-444660.",insurance grounded-qa fine-tuning instruction bilingual,detailed,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+2455,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; 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: 2455-685545.",insurance grounded-qa fine-tuning instruction bilingual,clean,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+2456,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2456-211480.",insurance grounded-qa fine-tuning instruction bilingual,minimal,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+2457,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2457-465111.",insurance grounded-qa fine-tuning instruction bilingual,clean,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+2458,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2458-640594.",insurance grounded-qa fine-tuning instruction bilingual,detailed,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+2459,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2459-202009.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+2460,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2460-388081.",insurance grounded-qa fine-tuning instruction bilingual,clean,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+2461,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2461-634798.",insurance grounded-qa fine-tuning instruction bilingual,stylized,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+2462,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; 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: 2462-760844.",insurance grounded-qa fine-tuning instruction bilingual,minimal,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+2463,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2463-763073.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+2464,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2464-913336.",insurance grounded-qa fine-tuning instruction bilingual,clean,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+2465,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: BILINGUAL; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2465-443316.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+2466,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2466-375741.",insurance grounded-qa fine-tuning instruction bilingual,minimal,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+2467,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; 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: 2467-419277.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+2468,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2468-138518.",insurance grounded-qa fine-tuning instruction bilingual,clean,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+2469,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-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: 2469-275850.",insurance grounded-qa fine-tuning instruction bilingual,minimal,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+2470,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2470-530624.",insurance grounded-qa fine-tuning instruction bilingual,minimal,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+2471,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2471-460738.",insurance grounded-qa fine-tuning instruction bilingual,minimal,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+2472,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2472-111305.",insurance grounded-qa fine-tuning instruction bilingual,minimal,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+2473,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2473-684458.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+2474,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: data scientist; Task: benchmarking; Format: long-context; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2474-878428.",insurance grounded-qa fine-tuning instruction bilingual,stylized,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+2475,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2475-953557.",insurance grounded-qa fine-tuning instruction bilingual,detailed,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+2476,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2476-538950.",insurance grounded-qa fine-tuning instruction bilingual,stylized,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+2477,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2477-100098.",insurance grounded-qa fine-tuning instruction bilingual,detailed,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+2478,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2478-400332.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+2479,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2479-207072.",insurance grounded-qa fine-tuning instruction bilingual,minimal,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+2480,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2480-939002.",insurance grounded-qa fine-tuning instruction bilingual,minimal,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+2481,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2481-537798.",insurance grounded-qa fine-tuning instruction bilingual,minimal,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+2482,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2482-667236.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+2483,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ai researcher; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2483-642016.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+2484,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: platform engineer; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2484-627493.",insurance grounded-qa fine-tuning instruction bilingual,clean,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+2485,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2485-116378.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+2486,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2486-169937.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+2487,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; 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: 2487-728252.",insurance grounded-qa fine-tuning instruction bilingual,minimal,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+2488,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2488-689941.",insurance grounded-qa fine-tuning instruction bilingual,minimal,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+2489,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-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: 2489-552504.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+2490,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: BILINGUAL; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2490-990671.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+2491,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: data scientist; Task: robustness-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2491-701154.",insurance grounded-qa fine-tuning instruction bilingual,minimal,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+2492,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2492-464620.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+2493,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2493-622301.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+2494,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2494-683116.",insurance grounded-qa fine-tuning instruction bilingual,minimal,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+2495,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2495-454870.",insurance grounded-qa fine-tuning instruction bilingual,stylized,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+2496,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2496-665436.",insurance grounded-qa fine-tuning instruction bilingual,minimal,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+2497,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2497-517829.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+2498,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2498-158945.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+2499,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2499-326947.",insurance grounded-qa fine-tuning instruction bilingual,stylized,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+2500,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ml engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2500-555626.",insurance grounded-qa fine-tuning instruction bilingual,minimal,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+2501,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: data scientist; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2501-591592.",insurance grounded-qa fine-tuning instruction bilingual,detailed,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+2502,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-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: 2502-377598.",insurance grounded-qa fine-tuning instruction bilingual,minimal,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+2503,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: platform engineer; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2503-296814.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+2504,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2504-163529.",insurance grounded-qa fine-tuning instruction bilingual,stylized,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+2505,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2505-412253.",insurance grounded-qa fine-tuning instruction bilingual,minimal,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+2506,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-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: 2506-338429.",insurance grounded-qa fine-tuning instruction bilingual,minimal,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+2507,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-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: 2507-777746.",insurance grounded-qa fine-tuning instruction bilingual,detailed,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+2508,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: data scientist; Task: robustness-check; Format: long-context; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2508-213322.",insurance grounded-qa fine-tuning instruction bilingual,clean,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+2509,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2509-511535.",insurance grounded-qa fine-tuning instruction bilingual,stylized,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+2510,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2510-495568.",insurance grounded-qa fine-tuning instruction bilingual,stylized,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+2511,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2511-422405.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+2512,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2512-264377.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+2513,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2513-573284.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+2514,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2514-144138.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+2515,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2515-985459.",insurance grounded-qa fine-tuning instruction bilingual,clean,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+2516,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2516-287729.",insurance grounded-qa fine-tuning instruction bilingual,minimal,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+2517,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; 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: 2517-695812.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+2518,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2518-610890.",insurance grounded-qa fine-tuning instruction bilingual,detailed,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+2519,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ml engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2519-429780.",insurance grounded-qa fine-tuning instruction bilingual,stylized,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+2520,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2520-980400.",insurance grounded-qa fine-tuning instruction bilingual,clean,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+2521,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2521-959311.",insurance grounded-qa fine-tuning instruction bilingual,clean,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+2522,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2522-807972.",insurance grounded-qa fine-tuning instruction bilingual,detailed,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+2523,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2523-664718.",insurance grounded-qa fine-tuning instruction bilingual,stylized,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+2524,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: BILINGUAL; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2524-585524.",insurance grounded-qa fine-tuning instruction bilingual,stylized,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+2525,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-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: 2525-756963.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+2526,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2526-889131.",insurance grounded-qa fine-tuning instruction bilingual,clean,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+2527,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2527-476973.",insurance grounded-qa fine-tuning instruction bilingual,clean,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+2528,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2528-536328.",insurance grounded-qa fine-tuning instruction bilingual,stylized,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+2529,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: BILINGUAL; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2529-234368.",insurance grounded-qa fine-tuning instruction bilingual,minimal,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+2530,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2530-819797.",insurance grounded-qa fine-tuning instruction bilingual,detailed,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+2531,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: data scientist; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2531-227833.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+2532,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2532-614249.",insurance grounded-qa fine-tuning instruction bilingual,minimal,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+2533,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; 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: 2533-853359.",insurance grounded-qa fine-tuning instruction bilingual,minimal,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+2534,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ai researcher; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2534-376070.",insurance grounded-qa fine-tuning instruction bilingual,detailed,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+2535,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; 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: 2535-794589.",insurance grounded-qa fine-tuning instruction bilingual,stylized,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+2536,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; 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: 2536-320404.",insurance grounded-qa fine-tuning instruction bilingual,stylized,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+2537,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2537-884021.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+2538,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; 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: 2538-552706.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+2539,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2539-118644.",insurance grounded-qa fine-tuning instruction bilingual,detailed,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+2540,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2540-266421.",insurance grounded-qa fine-tuning instruction bilingual,clean,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+2541,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2541-501033.",insurance grounded-qa fine-tuning instruction bilingual,stylized,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+2542,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2542-355683.",insurance grounded-qa fine-tuning instruction bilingual,detailed,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+2543,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: data scientist; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2543-677353.",insurance grounded-qa fine-tuning instruction bilingual,clean,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+2544,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: BILINGUAL; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2544-700239.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+2545,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2545-872838.",insurance grounded-qa fine-tuning instruction bilingual,clean,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+2546,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2546-896566.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+2547,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2547-154220.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+2548,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: BILINGUAL; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2548-556482.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+2549,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ai researcher; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2549-231390.",insurance grounded-qa fine-tuning instruction bilingual,detailed,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+2550,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ai researcher; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2550-916499.",insurance grounded-qa fine-tuning instruction bilingual,stylized,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+2551,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2551-185516.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+2552,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2552-794387.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+2553,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2553-231897.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+2554,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2554-161203.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+2555,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: data scientist; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2555-338182.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+2556,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2556-285574.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+2557,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2557-258655.",insurance grounded-qa fine-tuning instruction bilingual,detailed,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+2558,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: BILINGUAL; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2558-178370.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+2559,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: data scientist; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2559-630763.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+2560,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; 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: 2560-228161.",insurance grounded-qa fine-tuning instruction bilingual,minimal,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+2561,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2561-397480.",insurance grounded-qa fine-tuning instruction bilingual,clean,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+2562,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ai researcher; Task: quality-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2562-168815.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+2563,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: BILINGUAL; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2563-567460.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+2564,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2564-555630.",insurance grounded-qa fine-tuning instruction bilingual,stylized,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+2565,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2565-105417.",insurance grounded-qa fine-tuning instruction bilingual,clean,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+2566,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: data scientist; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2566-111809.",insurance grounded-qa fine-tuning instruction bilingual,stylized,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+2567,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2567-141318.",insurance grounded-qa fine-tuning instruction bilingual,minimal,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+2568,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2568-242284.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+2569,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2569-937432.",insurance grounded-qa fine-tuning instruction bilingual,minimal,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+2570,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; 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: 2570-780817.",insurance grounded-qa fine-tuning instruction bilingual,clean,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+2571,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2571-816918.",insurance grounded-qa fine-tuning instruction bilingual,clean,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+2572,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2572-457972.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+2573,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; 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: 2573-927051.",insurance grounded-qa fine-tuning instruction bilingual,clean,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+2574,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2574-178169.",insurance grounded-qa fine-tuning instruction bilingual,detailed,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+2575,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2575-651685.",insurance grounded-qa fine-tuning instruction bilingual,minimal,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+2576,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; 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: 2576-633360.",insurance grounded-qa fine-tuning instruction bilingual,clean,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+2577,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2577-655719.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+2578,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2578-595992.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+2579,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: BILINGUAL; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2579-755708.",insurance grounded-qa fine-tuning instruction bilingual,clean,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+2580,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: data scientist; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2580-280707.",insurance grounded-qa fine-tuning instruction bilingual,minimal,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+2581,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; 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: 2581-534534.",insurance grounded-qa fine-tuning instruction bilingual,stylized,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+2582,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: data scientist; Task: robustness-check; Format: long-context; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2582-941704.",insurance grounded-qa fine-tuning instruction bilingual,detailed,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+2583,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2583-410812.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+2584,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: BILINGUAL; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2584-688582.",insurance grounded-qa fine-tuning instruction bilingual,clean,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+2585,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2585-586806.",insurance grounded-qa fine-tuning instruction bilingual,minimal,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+2586,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2586-936050.",insurance grounded-qa fine-tuning instruction bilingual,minimal,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+2587,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2587-507754.",insurance grounded-qa fine-tuning instruction bilingual,detailed,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+2588,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; 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: 2588-494995.",insurance grounded-qa fine-tuning instruction bilingual,clean,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+2589,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2589-321966.",insurance grounded-qa fine-tuning instruction bilingual,minimal,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+2590,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: data scientist; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2590-607334.",insurance grounded-qa fine-tuning instruction bilingual,minimal,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+2591,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2591-228074.",insurance grounded-qa fine-tuning instruction bilingual,minimal,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+2592,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2592-146952.",insurance grounded-qa fine-tuning instruction bilingual,minimal,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+2593,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2593-302438.",insurance grounded-qa fine-tuning instruction bilingual,detailed,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+2594,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; 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: 2594-769858.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+2595,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2595-204717.",insurance grounded-qa fine-tuning instruction bilingual,detailed,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+2596,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2596-262777.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+2597,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ai researcher; Task: quality-check; Format: long-context; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2597-144709.",insurance grounded-qa fine-tuning instruction bilingual,detailed,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+2598,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2598-496540.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+2599,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2599-237273.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+2600,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; 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: 2600-432107.",insurance grounded-qa fine-tuning instruction bilingual,minimal,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+2601,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2601-735510.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+2602,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2602-898905.",insurance grounded-qa fine-tuning instruction bilingual,clean,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+2603,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: data scientist; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2603-881128.",insurance grounded-qa fine-tuning instruction bilingual,clean,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+2604,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2604-115907.",insurance grounded-qa fine-tuning instruction bilingual,detailed,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+2605,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2605-504045.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+2606,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2606-226382.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+2607,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2607-985654.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+2608,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2608-766507.",insurance grounded-qa fine-tuning instruction bilingual,stylized,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+2609,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2609-427461.",insurance grounded-qa fine-tuning instruction bilingual,detailed,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+2610,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2610-982156.",insurance grounded-qa fine-tuning instruction bilingual,minimal,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+2611,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2611-483014.",insurance grounded-qa fine-tuning instruction bilingual,minimal,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+2612,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: data scientist; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2612-203508.",insurance grounded-qa fine-tuning instruction bilingual,minimal,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+2613,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2613-915412.",insurance grounded-qa fine-tuning instruction bilingual,detailed,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+2614,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: platform engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2614-189154.",insurance grounded-qa fine-tuning instruction bilingual,minimal,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+2615,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; 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: 2615-540708.",insurance grounded-qa fine-tuning instruction bilingual,stylized,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+2616,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2616-131412.",insurance grounded-qa fine-tuning instruction bilingual,detailed,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+2617,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-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: 2617-997228.",insurance grounded-qa fine-tuning instruction bilingual,minimal,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+2618,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: BILINGUAL; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2618-396231.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+2619,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2619-657796.",insurance grounded-qa fine-tuning instruction bilingual,detailed,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+2620,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2620-988616.",insurance grounded-qa fine-tuning instruction bilingual,minimal,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+2621,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2621-104164.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+2622,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; 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: 2622-786687.",insurance grounded-qa fine-tuning instruction bilingual,clean,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+2623,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; 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: 2623-141098.",insurance grounded-qa fine-tuning instruction bilingual,stylized,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+2624,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-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: 2624-405600.",insurance grounded-qa fine-tuning instruction bilingual,clean,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+2625,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2625-290116.",insurance grounded-qa fine-tuning instruction bilingual,clean,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+2626,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2626-899362.",insurance grounded-qa fine-tuning instruction bilingual,clean,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+2627,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; 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: 2627-383924.",insurance grounded-qa fine-tuning instruction bilingual,clean,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+2628,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2628-381040.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+2629,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: data scientist; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2629-237464.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+2630,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: data scientist; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2630-151719.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+2631,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; 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: 2631-425390.",insurance grounded-qa fine-tuning instruction bilingual,minimal,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+2632,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2632-267097.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+2633,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; 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: 2633-895939.",insurance grounded-qa fine-tuning instruction bilingual,clean,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+2634,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: platform engineer; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2634-556608.",insurance grounded-qa fine-tuning instruction bilingual,stylized,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+2635,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; 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: 2635-454979.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+2636,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2636-214738.",insurance grounded-qa fine-tuning instruction bilingual,stylized,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+2637,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: BILINGUAL; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2637-790090.",insurance grounded-qa fine-tuning instruction bilingual,stylized,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+2638,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: BILINGUAL; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2638-671552.",insurance grounded-qa fine-tuning instruction bilingual,stylized,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+2639,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2639-827017.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+2640,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: data scientist; Task: quality-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2640-972107.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+2641,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: data scientist; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2641-260811.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+2642,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ml engineer; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2642-422794.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+2643,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2643-176375.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+2644,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: data scientist; Task: grounding-check; Format: long-context; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2644-526197.",insurance grounded-qa fine-tuning instruction bilingual,minimal,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+2645,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2645-322139.",insurance grounded-qa fine-tuning instruction bilingual,clean,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+2646,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2646-705388.",insurance grounded-qa fine-tuning instruction bilingual,minimal,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+2647,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2647-874528.",insurance grounded-qa fine-tuning instruction bilingual,minimal,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+2648,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2648-297673.",insurance grounded-qa fine-tuning instruction bilingual,minimal,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+2649,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: data scientist; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2649-220227.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+2650,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2650-707734.",insurance grounded-qa fine-tuning instruction bilingual,clean,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+2651,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: data scientist; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2651-738027.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+2652,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2652-933611.",insurance grounded-qa fine-tuning instruction bilingual,stylized,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+2653,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2653-629752.",insurance grounded-qa fine-tuning instruction bilingual,detailed,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+2654,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; 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: 2654-479393.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+2655,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2655-720994.",insurance grounded-qa fine-tuning instruction bilingual,clean,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+2656,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2656-803702.",insurance grounded-qa fine-tuning instruction bilingual,stylized,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+2657,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2657-801325.",insurance grounded-qa fine-tuning instruction bilingual,detailed,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+2658,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2658-221512.",insurance grounded-qa fine-tuning instruction bilingual,stylized,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+2659,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: data scientist; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2659-132688.",insurance grounded-qa fine-tuning instruction bilingual,detailed,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+2660,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2660-578781.",insurance grounded-qa fine-tuning instruction bilingual,clean,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+2661,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2661-252372.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+2662,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2662-740925.",insurance grounded-qa fine-tuning instruction bilingual,minimal,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+2663,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2663-225920.",insurance grounded-qa fine-tuning instruction bilingual,minimal,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+2664,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2664-421338.",insurance grounded-qa fine-tuning instruction bilingual,clean,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+2665,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2665-357466.",insurance grounded-qa fine-tuning instruction bilingual,clean,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+2666,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2666-855196.",insurance grounded-qa fine-tuning instruction bilingual,stylized,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+2667,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2667-954563.",insurance grounded-qa fine-tuning instruction bilingual,stylized,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+2668,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2668-985458.",insurance grounded-qa fine-tuning instruction bilingual,clean,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+2669,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2669-344500.",insurance grounded-qa fine-tuning instruction bilingual,stylized,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+2670,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-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: 2670-894587.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+2671,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2671-745321.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+2672,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2672-308571.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+2673,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2673-235083.",insurance grounded-qa fine-tuning instruction bilingual,clean,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+2674,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; 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: 2674-175921.",insurance grounded-qa fine-tuning instruction bilingual,clean,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+2675,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2675-853077.",insurance grounded-qa fine-tuning instruction bilingual,stylized,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+2676,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2676-417461.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+2677,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2677-188255.",insurance grounded-qa fine-tuning instruction bilingual,detailed,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+2678,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2678-948369.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+2679,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2679-870294.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+2680,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2680-889730.",insurance grounded-qa fine-tuning instruction bilingual,minimal,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+2681,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2681-111285.",insurance grounded-qa fine-tuning instruction bilingual,clean,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+2682,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: BILINGUAL; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2682-554763.",insurance grounded-qa fine-tuning instruction bilingual,detailed,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+2683,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: platform engineer; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2683-431709.",insurance grounded-qa fine-tuning instruction bilingual,stylized,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+2684,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ai researcher; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2684-348535.",insurance grounded-qa fine-tuning instruction bilingual,clean,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+2685,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2685-364144.",insurance grounded-qa fine-tuning instruction bilingual,stylized,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+2686,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2686-119693.",insurance grounded-qa fine-tuning instruction bilingual,clean,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+2687,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2687-480653.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+2688,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; 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: 2688-754576.",insurance grounded-qa fine-tuning instruction bilingual,detailed,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+2689,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2689-788557.",insurance grounded-qa fine-tuning instruction bilingual,stylized,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+2690,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; 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: 2690-245936.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+2691,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2691-762753.",insurance grounded-qa fine-tuning instruction bilingual,stylized,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+2692,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2692-668370.",insurance grounded-qa fine-tuning instruction bilingual,stylized,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+2693,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2693-718762.",insurance grounded-qa fine-tuning instruction bilingual,minimal,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+2694,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; 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: 2694-381621.",insurance grounded-qa fine-tuning instruction bilingual,minimal,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+2695,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2695-832571.",insurance grounded-qa fine-tuning instruction bilingual,detailed,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+2696,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2696-287971.",insurance grounded-qa fine-tuning instruction bilingual,stylized,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+2697,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2697-275707.",insurance grounded-qa fine-tuning instruction bilingual,stylized,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+2698,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; 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: 2698-531010.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+2699,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2699-222749.",insurance grounded-qa fine-tuning instruction bilingual,detailed,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+2700,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2700-259598.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+2701,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; 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: 2701-733328.",insurance grounded-qa fine-tuning instruction bilingual,clean,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+2702,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2702-744311.",insurance grounded-qa fine-tuning instruction bilingual,detailed,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+2703,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2703-650323.",insurance grounded-qa fine-tuning instruction bilingual,detailed,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+2704,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: data scientist; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2704-448030.",insurance grounded-qa fine-tuning instruction bilingual,detailed,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+2705,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2705-561517.",insurance grounded-qa fine-tuning instruction bilingual,detailed,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+2706,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: platform engineer; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2706-823260.",insurance grounded-qa fine-tuning instruction bilingual,stylized,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+2707,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: BILINGUAL; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2707-656560.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+2708,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: data scientist; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2708-699410.",insurance grounded-qa fine-tuning instruction bilingual,stylized,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+2709,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2709-488834.",insurance grounded-qa fine-tuning instruction bilingual,detailed,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+2710,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2710-376898.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+2711,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: BILINGUAL; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2711-782505.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+2712,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-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: 2712-486203.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+2713,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: BILINGUAL; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2713-454331.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+2714,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2714-894917.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+2715,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2715-500755.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+2716,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-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: 2716-731623.",insurance grounded-qa fine-tuning instruction bilingual,detailed,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+2717,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; 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: 2717-399296.",insurance grounded-qa fine-tuning instruction bilingual,detailed,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+2718,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2718-987256.",insurance grounded-qa fine-tuning instruction bilingual,stylized,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+2719,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; 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: 2719-356298.",insurance grounded-qa fine-tuning instruction bilingual,stylized,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+2720,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2720-543515.",insurance grounded-qa fine-tuning instruction bilingual,stylized,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+2721,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: BILINGUAL; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2721-573297.",insurance grounded-qa fine-tuning instruction bilingual,stylized,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+2722,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2722-977850.",insurance grounded-qa fine-tuning instruction bilingual,detailed,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+2723,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2723-882946.",insurance grounded-qa fine-tuning instruction bilingual,clean,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+2724,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2724-567949.",insurance grounded-qa fine-tuning instruction bilingual,detailed,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+2725,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2725-117475.",insurance grounded-qa fine-tuning instruction bilingual,clean,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+2726,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2726-360026.",insurance grounded-qa fine-tuning instruction bilingual,clean,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+2727,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; 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: 2727-574312.",insurance grounded-qa fine-tuning instruction bilingual,minimal,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+2728,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2728-628157.",insurance grounded-qa fine-tuning instruction bilingual,minimal,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+2729,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2729-869504.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+2730,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2730-212077.",insurance grounded-qa fine-tuning instruction bilingual,clean,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+2731,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-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: 2731-370070.",insurance grounded-qa fine-tuning instruction bilingual,minimal,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+2732,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2732-628516.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+2733,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: platform engineer; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2733-781828.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+2734,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2734-824695.",insurance grounded-qa fine-tuning instruction bilingual,detailed,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+2735,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: BILINGUAL; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2735-839968.",insurance grounded-qa fine-tuning instruction bilingual,stylized,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+2736,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2736-439339.",insurance grounded-qa fine-tuning instruction bilingual,clean,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+2737,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2737-904814.",insurance grounded-qa fine-tuning instruction bilingual,clean,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+2738,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: BILINGUAL; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2738-467299.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+2739,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2739-579018.",insurance grounded-qa fine-tuning instruction bilingual,minimal,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+2740,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; 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: 2740-206492.",insurance grounded-qa fine-tuning instruction bilingual,stylized,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+2741,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2741-291519.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+2742,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2742-270625.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+2743,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2743-528419.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+2744,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-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: 2744-633269.",insurance grounded-qa fine-tuning instruction bilingual,detailed,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+2745,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2745-754316.",insurance grounded-qa fine-tuning instruction bilingual,minimal,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+2746,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2746-827703.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+2747,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: BILINGUAL; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2747-461117.",insurance grounded-qa fine-tuning instruction bilingual,detailed,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+2748,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2748-998330.",insurance grounded-qa fine-tuning instruction bilingual,detailed,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+2749,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2749-816809.",insurance grounded-qa fine-tuning instruction bilingual,stylized,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+2750,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2750-782787.",insurance grounded-qa fine-tuning instruction bilingual,clean,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+2751,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2751-536381.",insurance grounded-qa fine-tuning instruction bilingual,clean,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+2752,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2752-549972.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+2753,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-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: 2753-751064.",insurance grounded-qa fine-tuning instruction bilingual,stylized,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+2754,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2754-191086.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+2755,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2755-590662.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+2756,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2756-411726.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+2757,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2757-213424.",insurance grounded-qa fine-tuning instruction bilingual,clean,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+2758,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; 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: 2758-137079.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+2759,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2759-368503.",insurance grounded-qa fine-tuning instruction bilingual,clean,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+2760,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2760-261602.",insurance grounded-qa fine-tuning instruction bilingual,detailed,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+2761,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2761-164743.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+2762,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2762-628914.",insurance grounded-qa fine-tuning instruction bilingual,minimal,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+2763,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ml engineer; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2763-973638.",insurance grounded-qa fine-tuning instruction bilingual,clean,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+2764,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2764-297314.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+2765,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: platform engineer; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2765-410237.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+2766,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2766-978603.",insurance grounded-qa fine-tuning instruction bilingual,detailed,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+2767,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2767-591029.",insurance grounded-qa fine-tuning instruction bilingual,detailed,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+2768,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2768-151840.",insurance grounded-qa fine-tuning instruction bilingual,clean,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+2769,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: data scientist; Task: quality-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2769-346746.",insurance grounded-qa fine-tuning instruction bilingual,stylized,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+2770,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: BILINGUAL; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2770-607705.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+2771,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; 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: 2771-156022.",insurance grounded-qa fine-tuning instruction bilingual,detailed,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+2772,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-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: 2772-299949.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+2773,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2773-806286.",insurance grounded-qa fine-tuning instruction bilingual,clean,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+2774,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: data scientist; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2774-635901.",insurance grounded-qa fine-tuning instruction bilingual,stylized,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+2775,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2775-674589.",insurance grounded-qa fine-tuning instruction bilingual,detailed,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+2776,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; 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: 2776-294178.",insurance grounded-qa fine-tuning instruction bilingual,minimal,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+2777,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2777-984066.",insurance grounded-qa fine-tuning instruction bilingual,minimal,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+2778,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2778-160949.",insurance grounded-qa fine-tuning instruction bilingual,stylized,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+2779,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; 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: 2779-998285.",insurance grounded-qa fine-tuning instruction bilingual,stylized,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+2780,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2780-745915.",insurance grounded-qa fine-tuning instruction bilingual,stylized,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+2781,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2781-185192.",insurance grounded-qa fine-tuning instruction bilingual,minimal,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+2782,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2782-791711.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+2783,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2783-358052.",insurance grounded-qa fine-tuning instruction bilingual,detailed,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+2784,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2784-386190.",insurance grounded-qa fine-tuning instruction bilingual,clean,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+2785,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2785-185408.",insurance grounded-qa fine-tuning instruction bilingual,stylized,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+2786,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2786-131486.",insurance grounded-qa fine-tuning instruction bilingual,minimal,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+2787,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2787-551792.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+2788,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2788-922995.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+2789,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2789-522924.",insurance grounded-qa fine-tuning instruction bilingual,detailed,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+2790,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2790-334297.",insurance grounded-qa fine-tuning instruction bilingual,stylized,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+2791,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2791-869084.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+2792,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2792-830655.",insurance grounded-qa fine-tuning instruction bilingual,detailed,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+2793,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2793-361190.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+2794,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; 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: 2794-657814.",insurance grounded-qa fine-tuning instruction bilingual,detailed,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+2795,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2795-159052.",insurance grounded-qa fine-tuning instruction bilingual,stylized,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+2796,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2796-650797.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+2797,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; 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: 2797-352282.",insurance grounded-qa fine-tuning instruction bilingual,clean,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+2798,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2798-854361.",insurance grounded-qa fine-tuning instruction bilingual,clean,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+2799,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2799-359125.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+2800,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2800-715556.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+2801,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2801-475986.",insurance grounded-qa fine-tuning instruction bilingual,detailed,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+2802,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2802-268040.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+2803,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ml engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2803-932583.",insurance grounded-qa fine-tuning instruction bilingual,detailed,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+2804,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2804-921826.",insurance grounded-qa fine-tuning instruction bilingual,minimal,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+2805,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2805-529075.",insurance grounded-qa fine-tuning instruction bilingual,minimal,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+2806,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2806-252261.",insurance grounded-qa fine-tuning instruction bilingual,minimal,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+2807,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ml engineer; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2807-801881.",insurance grounded-qa fine-tuning instruction bilingual,detailed,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+2808,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: data scientist; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2808-560957.",insurance grounded-qa fine-tuning instruction bilingual,stylized,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+2809,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2809-818047.",insurance grounded-qa fine-tuning instruction bilingual,stylized,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+2810,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2810-480626.",insurance grounded-qa fine-tuning instruction bilingual,stylized,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+2811,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ml engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2811-223185.",insurance grounded-qa fine-tuning instruction bilingual,minimal,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+2812,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: platform engineer; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2812-351438.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+2813,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; 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: 2813-336340.",insurance grounded-qa fine-tuning instruction bilingual,detailed,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+2814,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: platform engineer; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2814-834745.",insurance grounded-qa fine-tuning instruction bilingual,clean,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+2815,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; 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: 2815-816159.",insurance grounded-qa fine-tuning instruction bilingual,minimal,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+2816,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2816-161054.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+2817,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: data scientist; Task: grounding-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2817-155223.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+2818,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-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: 2818-885103.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+2819,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: data scientist; Task: benchmarking; Format: long-context; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2819-980552.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+2820,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2820-763228.",insurance grounded-qa fine-tuning instruction bilingual,detailed,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+2821,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2821-239434.",insurance grounded-qa fine-tuning instruction bilingual,clean,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+2822,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2822-377337.",insurance grounded-qa fine-tuning instruction bilingual,detailed,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+2823,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; 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: 2823-433714.",insurance grounded-qa fine-tuning instruction bilingual,stylized,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+2824,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-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: 2824-321093.",insurance grounded-qa fine-tuning instruction bilingual,clean,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+2825,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: data scientist; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2825-675223.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+2826,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2826-397074.",insurance grounded-qa fine-tuning instruction bilingual,stylized,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+2827,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: data scientist; Task: robustness-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2827-125651.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+2828,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2828-383538.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+2829,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2829-948173.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+2830,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2830-524013.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+2831,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2831-185781.",insurance grounded-qa fine-tuning instruction bilingual,stylized,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+2832,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: data scientist; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2832-988942.",insurance grounded-qa fine-tuning instruction bilingual,minimal,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+2833,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2833-301675.",insurance grounded-qa fine-tuning instruction bilingual,detailed,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+2834,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: data scientist; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2834-814777.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+2835,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2835-641322.",insurance grounded-qa fine-tuning instruction bilingual,clean,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+2836,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: data scientist; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2836-415146.",insurance grounded-qa fine-tuning instruction bilingual,stylized,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+2837,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2837-939057.",insurance grounded-qa fine-tuning instruction bilingual,stylized,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+2838,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2838-407111.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+2839,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2839-805358.",insurance grounded-qa fine-tuning instruction bilingual,clean,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+2840,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2840-250104.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+2841,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2841-396484.",insurance grounded-qa fine-tuning instruction bilingual,clean,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+2842,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ml engineer; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2842-573027.",insurance grounded-qa fine-tuning instruction bilingual,minimal,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+2843,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: data scientist; Task: benchmarking; Format: long-context; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2843-374038.",insurance grounded-qa fine-tuning instruction bilingual,clean,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+2844,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: data scientist; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2844-515575.",insurance grounded-qa fine-tuning instruction bilingual,detailed,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+2845,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2845-178085.",insurance grounded-qa fine-tuning instruction bilingual,clean,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+2846,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2846-101388.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+2847,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2847-393731.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+2848,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2848-578291.",insurance grounded-qa fine-tuning instruction bilingual,detailed,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+2849,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2849-418371.",insurance grounded-qa fine-tuning instruction bilingual,detailed,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+2850,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2850-898334.",insurance grounded-qa fine-tuning instruction bilingual,minimal,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+2851,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: BILINGUAL; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2851-256420.",insurance grounded-qa fine-tuning instruction bilingual,minimal,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+2852,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2852-629870.",insurance grounded-qa fine-tuning instruction bilingual,detailed,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+2853,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2853-714859.",insurance grounded-qa fine-tuning instruction bilingual,minimal,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+2854,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ml engineer; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2854-960724.",insurance grounded-qa fine-tuning instruction bilingual,minimal,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+2855,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; 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: 2855-876137.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+2856,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2856-980927.",insurance grounded-qa fine-tuning instruction bilingual,clean,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+2857,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; 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: 2857-631444.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+2858,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; 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: 2858-225875.",insurance grounded-qa fine-tuning instruction bilingual,stylized,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+2859,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: data scientist; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2859-960964.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+2860,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2860-266042.",insurance grounded-qa fine-tuning instruction bilingual,clean,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+2861,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; 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: 2861-264549.",insurance grounded-qa fine-tuning instruction bilingual,minimal,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+2862,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2862-477118.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+2863,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2863-419484.",insurance grounded-qa fine-tuning instruction bilingual,detailed,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+2864,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2864-808519.",insurance grounded-qa fine-tuning instruction bilingual,clean,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+2865,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-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: 2865-727778.",insurance grounded-qa fine-tuning instruction bilingual,stylized,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+2866,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2866-259119.",insurance grounded-qa fine-tuning instruction bilingual,stylized,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+2867,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ai researcher; Task: quality-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2867-642345.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+2868,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2868-405528.",insurance grounded-qa fine-tuning instruction bilingual,stylized,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+2869,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2869-883596.",insurance grounded-qa fine-tuning instruction bilingual,stylized,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+2870,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: data scientist; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2870-487017.",insurance grounded-qa fine-tuning instruction bilingual,clean,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+2871,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: data scientist; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2871-576100.",insurance grounded-qa fine-tuning instruction bilingual,minimal,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+2872,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2872-266238.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+2873,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-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: 2873-229127.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+2874,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2874-684103.",insurance grounded-qa fine-tuning instruction bilingual,clean,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+2875,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2875-663438.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+2876,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: data scientist; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2876-668742.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+2877,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2877-289820.",insurance grounded-qa fine-tuning instruction bilingual,detailed,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+2878,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2878-529764.",insurance grounded-qa fine-tuning instruction bilingual,detailed,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+2879,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-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: 2879-902270.",insurance grounded-qa fine-tuning instruction bilingual,minimal,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+2880,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; 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: 2880-156951.",insurance grounded-qa fine-tuning instruction bilingual,clean,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+2881,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2881-173456.",insurance grounded-qa fine-tuning instruction bilingual,detailed,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+2882,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-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: 2882-665187.",insurance grounded-qa fine-tuning instruction bilingual,detailed,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+2883,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2883-702063.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+2884,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2884-203769.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+2885,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2885-609978.",insurance grounded-qa fine-tuning instruction bilingual,detailed,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+2886,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; 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: 2886-853342.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+2887,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: data scientist; Task: quality-check; Format: long-context; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2887-621810.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+2888,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2888-274185.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+2889,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2889-727623.",insurance grounded-qa fine-tuning instruction bilingual,stylized,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+2890,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2890-978006.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+2891,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; 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: 2891-442282.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+2892,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2892-146964.",insurance grounded-qa fine-tuning instruction bilingual,clean,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+2893,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2893-387224.",insurance grounded-qa fine-tuning instruction bilingual,detailed,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+2894,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: data scientist; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2894-139096.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+2895,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2895-106031.",insurance grounded-qa fine-tuning instruction bilingual,clean,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+2896,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: data scientist; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2896-723544.",insurance grounded-qa fine-tuning instruction bilingual,stylized,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+2897,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2897-159210.",insurance grounded-qa fine-tuning instruction bilingual,stylized,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+2898,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ml engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2898-751531.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+2899,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: BILINGUAL; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2899-141082.",insurance grounded-qa fine-tuning instruction bilingual,detailed,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+2900,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: BILINGUAL; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2900-759842.",insurance grounded-qa fine-tuning instruction bilingual,detailed,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+2901,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2901-354790.",insurance grounded-qa fine-tuning instruction bilingual,clean,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+2902,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; 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: 2902-941699.",insurance grounded-qa fine-tuning instruction bilingual,minimal,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+2903,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: data scientist; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2903-683156.",insurance grounded-qa fine-tuning instruction bilingual,detailed,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+2904,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2904-690434.",insurance grounded-qa fine-tuning instruction bilingual,minimal,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+2905,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2905-883485.",insurance grounded-qa fine-tuning instruction bilingual,minimal,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+2906,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2906-143142.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+2907,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2907-836074.",insurance grounded-qa fine-tuning instruction bilingual,minimal,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+2908,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2908-843390.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+2909,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ai researcher; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2909-658975.",insurance grounded-qa fine-tuning instruction bilingual,minimal,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+2910,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-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: 2910-895433.",insurance grounded-qa fine-tuning instruction bilingual,detailed,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+2911,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: data scientist; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2911-774533.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+2912,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; 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: 2912-196789.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+2913,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; 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: 2913-503254.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+2914,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2914-765196.",insurance grounded-qa fine-tuning instruction bilingual,stylized,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+2915,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2915-516616.",insurance grounded-qa fine-tuning instruction bilingual,stylized,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+2916,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-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: 2916-122797.",insurance grounded-qa fine-tuning instruction bilingual,minimal,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+2917,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2917-266957.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+2918,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2918-200934.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+2919,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ml engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2919-365704.",insurance grounded-qa fine-tuning instruction bilingual,minimal,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+2920,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-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: 2920-554644.",insurance grounded-qa fine-tuning instruction bilingual,minimal,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+2921,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2921-830528.",insurance grounded-qa fine-tuning instruction bilingual,stylized,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+2922,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; 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: 2922-840637.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+2923,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2923-241073.",insurance grounded-qa fine-tuning instruction bilingual,detailed,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+2924,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: BILINGUAL; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2924-764118.",insurance grounded-qa fine-tuning instruction bilingual,detailed,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+2925,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2925-245480.",insurance grounded-qa fine-tuning instruction bilingual,stylized,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+2926,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2926-928760.",insurance grounded-qa fine-tuning instruction bilingual,detailed,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+2927,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; 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: 2927-593610.",insurance grounded-qa fine-tuning instruction bilingual,stylized,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+2928,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-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: 2928-630488.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+2929,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2929-350789.",insurance grounded-qa fine-tuning instruction bilingual,clean,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+2930,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2930-821827.",insurance grounded-qa fine-tuning instruction bilingual,stylized,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+2931,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; 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: 2931-861696.",insurance grounded-qa fine-tuning instruction bilingual,detailed,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+2932,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2932-200840.",insurance grounded-qa fine-tuning instruction bilingual,stylized,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+2933,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-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: 2933-205867.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+2934,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2934-785557.",insurance grounded-qa fine-tuning instruction bilingual,clean,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+2935,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2935-326670.",insurance grounded-qa fine-tuning instruction bilingual,stylized,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+2936,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2936-246193.",insurance grounded-qa fine-tuning instruction bilingual,minimal,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+2937,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2937-730892.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+2938,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: BILINGUAL; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2938-833532.",insurance grounded-qa fine-tuning instruction bilingual,detailed,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+2939,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: BILINGUAL; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2939-527167.",insurance grounded-qa fine-tuning instruction bilingual,detailed,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+2940,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2940-680502.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+2941,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; 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: 2941-244257.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+2942,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2942-316482.",insurance grounded-qa fine-tuning instruction bilingual,clean,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+2943,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2943-581299.",insurance grounded-qa fine-tuning instruction bilingual,detailed,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+2944,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: data scientist; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2944-134233.",insurance grounded-qa fine-tuning instruction bilingual,minimal,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+2945,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2945-896255.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+2946,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2946-330887.",insurance grounded-qa fine-tuning instruction bilingual,minimal,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+2947,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2947-554738.",insurance grounded-qa fine-tuning instruction bilingual,minimal,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+2948,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; 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: 2948-727366.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+2949,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2949-200762.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+2950,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2950-956879.",insurance grounded-qa fine-tuning instruction bilingual,clean,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+2951,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2951-391341.",insurance grounded-qa fine-tuning instruction bilingual,detailed,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+2952,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2952-717270.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+2953,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2953-666750.",insurance grounded-qa fine-tuning instruction bilingual,stylized,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+2954,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: BILINGUAL; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2954-919858.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+2955,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2955-548887.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+2956,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2956-276894.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+2957,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2957-928636.",insurance grounded-qa fine-tuning instruction bilingual,detailed,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+2958,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: BILINGUAL; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2958-362322.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+2959,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2959-443455.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+2960,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-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: 2960-522178.",insurance grounded-qa fine-tuning instruction bilingual,clean,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+2961,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2961-790885.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+2962,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2962-630733.",insurance grounded-qa fine-tuning instruction bilingual,stylized,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+2963,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: data scientist; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2963-989448.",insurance grounded-qa fine-tuning instruction bilingual,clean,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+2964,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2964-683155.",insurance grounded-qa fine-tuning instruction bilingual,detailed,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+2965,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: data scientist; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2965-535188.",insurance grounded-qa fine-tuning instruction bilingual,detailed,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+2966,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2966-206777.",insurance grounded-qa fine-tuning instruction bilingual,minimal,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+2967,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: BILINGUAL; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2967-982990.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+2968,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2968-974552.",insurance grounded-qa fine-tuning instruction bilingual,detailed,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+2969,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; 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: 2969-211212.",insurance grounded-qa fine-tuning instruction bilingual,clean,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+2970,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2970-126806.",insurance grounded-qa fine-tuning instruction bilingual,stylized,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+2971,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; 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: 2971-379857.",insurance grounded-qa fine-tuning instruction bilingual,minimal,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+2972,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ai researcher; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2972-321889.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+2973,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2973-442423.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+2974,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2974-631777.",insurance grounded-qa fine-tuning instruction bilingual,minimal,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+2975,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2975-908653.",insurance grounded-qa fine-tuning instruction bilingual,clean,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+2976,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2976-668149.",insurance grounded-qa fine-tuning instruction bilingual,clean,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+2977,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2977-605642.",insurance grounded-qa fine-tuning instruction bilingual,clean,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+2978,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; 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: 2978-776371.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+2979,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2979-484770.",insurance grounded-qa fine-tuning instruction bilingual,minimal,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+2980,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2980-715777.",insurance grounded-qa fine-tuning instruction bilingual,stylized,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+2981,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2981-547595.",insurance grounded-qa fine-tuning instruction bilingual,clean,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+2982,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2982-633861.",insurance grounded-qa fine-tuning instruction bilingual,detailed,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+2983,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2983-868349.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+2984,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2984-286196.",insurance grounded-qa fine-tuning instruction bilingual,detailed,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+2985,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2985-336687.",insurance grounded-qa fine-tuning instruction bilingual,detailed,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+2986,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2986-810993.",insurance grounded-qa fine-tuning instruction bilingual,detailed,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+2987,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2987-247300.",insurance grounded-qa fine-tuning instruction bilingual,detailed,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+2988,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: BILINGUAL; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2988-363960.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+2989,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: data scientist; Task: robustness-check; Format: long-context; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2989-561228.",insurance grounded-qa fine-tuning instruction bilingual,detailed,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+2990,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; 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: 2990-973639.",insurance grounded-qa fine-tuning instruction bilingual,detailed,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+2991,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-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: 2991-294357.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+2992,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; 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: 2992-980551.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+2993,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2993-820339.",insurance grounded-qa fine-tuning instruction bilingual,minimal,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+2994,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2994-449184.",insurance grounded-qa fine-tuning instruction bilingual,clean,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+2995,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: data scientist; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2995-823499.",insurance grounded-qa fine-tuning instruction bilingual,stylized,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+2996,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; 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: 2996-619486.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+2997,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2997-601369.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+2998,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; 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: 2998-154419.",insurance grounded-qa fine-tuning instruction bilingual,detailed,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+2999,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: data scientist; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2999-317482.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+3000,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3000-773129.",insurance grounded-qa fine-tuning instruction bilingual,stylized,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+3001,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3001-244559.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+3002,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3002-765342.",insurance grounded-qa fine-tuning instruction bilingual,stylized,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+3003,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; 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: 3003-998137.",insurance grounded-qa fine-tuning instruction bilingual,minimal,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+3004,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3004-318085.",insurance grounded-qa fine-tuning instruction bilingual,clean,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+3005,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: data scientist; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3005-750168.",insurance grounded-qa fine-tuning instruction bilingual,clean,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+3006,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-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: 3006-144268.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+3007,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3007-565076.",insurance grounded-qa fine-tuning instruction bilingual,minimal,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+3008,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-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: 3008-241637.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+3009,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3009-871633.",insurance grounded-qa fine-tuning instruction bilingual,minimal,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+3010,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-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: 3010-778043.",insurance grounded-qa fine-tuning instruction bilingual,stylized,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+3011,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3011-734242.",insurance grounded-qa fine-tuning instruction bilingual,clean,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+3012,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3012-427912.",insurance grounded-qa fine-tuning instruction bilingual,stylized,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+3013,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3013-288865.",insurance grounded-qa fine-tuning instruction bilingual,clean,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+3014,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3014-622002.",insurance grounded-qa fine-tuning instruction bilingual,stylized,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+3015,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3015-812075.",insurance grounded-qa fine-tuning instruction bilingual,clean,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+3016,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3016-743354.",insurance grounded-qa fine-tuning instruction bilingual,stylized,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+3017,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3017-717148.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+3018,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3018-304647.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+3019,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3019-127020.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+3020,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: BILINGUAL; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3020-581925.",insurance grounded-qa fine-tuning instruction bilingual,clean,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+3021,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3021-275917.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+3022,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3022-927310.",insurance grounded-qa fine-tuning instruction bilingual,stylized,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+3023,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3023-854175.",insurance grounded-qa fine-tuning instruction bilingual,stylized,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+3024,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3024-202255.",insurance grounded-qa fine-tuning instruction bilingual,minimal,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+3025,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3025-769691.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+3026,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3026-154014.",insurance grounded-qa fine-tuning instruction bilingual,detailed,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+3027,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3027-529077.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+3028,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: data scientist; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3028-476620.",insurance grounded-qa fine-tuning instruction bilingual,detailed,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+3029,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3029-984395.",insurance grounded-qa fine-tuning instruction bilingual,stylized,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+3030,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3030-401406.",insurance grounded-qa fine-tuning instruction bilingual,minimal,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+3031,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: data scientist; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3031-228355.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+3032,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; 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: 3032-285973.",insurance grounded-qa fine-tuning instruction bilingual,detailed,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+3033,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3033-301045.",insurance grounded-qa fine-tuning instruction bilingual,clean,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+3034,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; 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: 3034-585664.",insurance grounded-qa fine-tuning instruction bilingual,detailed,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+3035,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ai researcher; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3035-279729.",insurance grounded-qa fine-tuning instruction bilingual,stylized,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+3036,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; 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: 3036-450643.",insurance grounded-qa fine-tuning instruction bilingual,minimal,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+3037,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; 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: 3037-665224.",insurance grounded-qa fine-tuning instruction bilingual,clean,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+3038,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3038-523314.",insurance grounded-qa fine-tuning instruction bilingual,minimal,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+3039,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; 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: 3039-348004.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+3040,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3040-135084.",insurance grounded-qa fine-tuning instruction bilingual,stylized,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+3041,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ml engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3041-185562.",insurance grounded-qa fine-tuning instruction bilingual,clean,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+3042,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3042-392703.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+3043,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: BILINGUAL; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3043-609172.",insurance grounded-qa fine-tuning instruction bilingual,detailed,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+3044,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3044-905359.",insurance grounded-qa fine-tuning instruction bilingual,minimal,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+3045,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ai researcher; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3045-980097.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+3046,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3046-647744.",insurance grounded-qa fine-tuning instruction bilingual,minimal,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+3047,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3047-490163.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+3048,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3048-630370.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+3049,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3049-681883.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+3050,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3050-166338.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+3051,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3051-579827.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+3052,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3052-923236.",insurance grounded-qa fine-tuning instruction bilingual,clean,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+3053,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3053-512989.",insurance grounded-qa fine-tuning instruction bilingual,clean,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+3054,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3054-341860.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+3055,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; 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: 3055-428607.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+3056,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3056-840507.",insurance grounded-qa fine-tuning instruction bilingual,detailed,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+3057,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; 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: 3057-219947.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+3058,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3058-388414.",insurance grounded-qa fine-tuning instruction bilingual,clean,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+3059,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3059-496867.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+3060,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3060-579785.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+3061,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3061-559675.",insurance grounded-qa fine-tuning instruction bilingual,stylized,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+3062,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3062-816924.",insurance grounded-qa fine-tuning instruction bilingual,clean,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+3063,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3063-816752.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+3064,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; 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: 3064-665120.",insurance grounded-qa fine-tuning instruction bilingual,clean,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+3065,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-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: 3065-367626.",insurance grounded-qa fine-tuning instruction bilingual,minimal,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+3066,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3066-660111.",insurance grounded-qa fine-tuning instruction bilingual,detailed,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+3067,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; 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: 3067-970351.",insurance grounded-qa fine-tuning instruction bilingual,minimal,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+3068,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; 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: 3068-779754.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+3069,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3069-946659.",insurance grounded-qa fine-tuning instruction bilingual,minimal,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+3070,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3070-891960.",insurance grounded-qa fine-tuning instruction bilingual,detailed,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+3071,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-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: 3071-582430.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+3072,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3072-677244.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+3073,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3073-290324.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+3074,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3074-652964.",insurance grounded-qa fine-tuning instruction bilingual,clean,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+3075,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3075-815420.",insurance grounded-qa fine-tuning instruction bilingual,stylized,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+3076,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3076-366849.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+3077,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3077-980682.",insurance grounded-qa fine-tuning instruction bilingual,stylized,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+3078,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; 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: 3078-778508.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+3079,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3079-874137.",insurance grounded-qa fine-tuning instruction bilingual,clean,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+3080,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: data scientist; Task: robustness-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3080-214403.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+3081,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3081-975227.",insurance grounded-qa fine-tuning instruction bilingual,clean,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+3082,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3082-797185.",insurance grounded-qa fine-tuning instruction bilingual,minimal,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+3083,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; 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: 3083-888958.",insurance grounded-qa fine-tuning instruction bilingual,minimal,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+3084,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3084-405198.",insurance grounded-qa fine-tuning instruction bilingual,minimal,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+3085,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3085-836974.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+3086,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3086-159706.",insurance grounded-qa fine-tuning instruction bilingual,clean,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+3087,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: BILINGUAL; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3087-383526.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+3088,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ai researcher; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3088-814624.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+3089,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-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: 3089-405298.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+3090,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-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: 3090-827934.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+3091,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3091-601548.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+3092,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-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: 3092-689787.",insurance grounded-qa fine-tuning instruction bilingual,stylized,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+3093,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3093-647094.",insurance grounded-qa fine-tuning instruction bilingual,clean,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+3094,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: data scientist; Task: benchmarking; Format: long-context; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3094-285315.",insurance grounded-qa fine-tuning instruction bilingual,minimal,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+3095,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; 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: 3095-763774.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+3096,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-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: 3096-789900.",insurance grounded-qa fine-tuning instruction bilingual,clean,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+3097,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3097-454705.",insurance grounded-qa fine-tuning instruction bilingual,stylized,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+3098,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3098-687890.",insurance grounded-qa fine-tuning instruction bilingual,clean,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+3099,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3099-313066.",insurance grounded-qa fine-tuning instruction bilingual,minimal,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+3100,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3100-178901.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+3101,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; 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: 3101-726488.",insurance grounded-qa fine-tuning instruction bilingual,minimal,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+3102,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3102-543324.",insurance grounded-qa fine-tuning instruction bilingual,minimal,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+3103,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3103-125509.",insurance grounded-qa fine-tuning instruction bilingual,clean,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+3104,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3104-564481.",insurance grounded-qa fine-tuning instruction bilingual,detailed,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+3105,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: BILINGUAL; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3105-718947.",insurance grounded-qa fine-tuning instruction bilingual,clean,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+3106,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3106-759715.",insurance grounded-qa fine-tuning instruction bilingual,detailed,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+3107,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3107-141403.",insurance grounded-qa fine-tuning instruction bilingual,stylized,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+3108,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3108-925697.",insurance grounded-qa fine-tuning instruction bilingual,stylized,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+3109,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: data scientist; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3109-504075.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+3110,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: data scientist; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3110-173088.",insurance grounded-qa fine-tuning instruction bilingual,stylized,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+3111,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; 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: 3111-931080.",insurance grounded-qa fine-tuning instruction bilingual,clean,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+3112,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3112-309104.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+3113,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3113-879063.",insurance grounded-qa fine-tuning instruction bilingual,clean,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+3114,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3114-968169.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+3115,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: BILINGUAL; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3115-673722.",insurance grounded-qa fine-tuning instruction bilingual,detailed,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+3116,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3116-798010.",insurance grounded-qa fine-tuning instruction bilingual,stylized,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+3117,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: data scientist; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3117-471183.",insurance grounded-qa fine-tuning instruction bilingual,stylized,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+3118,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; 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: 3118-843987.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+3119,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3119-618938.",insurance grounded-qa fine-tuning instruction bilingual,detailed,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+3120,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; 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: 3120-477656.",insurance grounded-qa fine-tuning instruction bilingual,clean,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+3121,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3121-843343.",insurance grounded-qa fine-tuning instruction bilingual,stylized,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+3122,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3122-938880.",insurance grounded-qa fine-tuning instruction bilingual,detailed,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+3123,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3123-424133.",insurance grounded-qa fine-tuning instruction bilingual,clean,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+3124,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3124-534292.",insurance grounded-qa fine-tuning instruction bilingual,detailed,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+3125,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3125-389241.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+3126,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3126-111160.",insurance grounded-qa fine-tuning instruction bilingual,clean,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+3127,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3127-916017.",insurance grounded-qa fine-tuning instruction bilingual,detailed,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+3128,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3128-594744.",insurance grounded-qa fine-tuning instruction bilingual,minimal,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+3129,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: BILINGUAL; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3129-667318.",insurance grounded-qa fine-tuning instruction bilingual,stylized,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+3130,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; 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: 3130-531482.",insurance grounded-qa fine-tuning instruction bilingual,detailed,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+3131,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; 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: 3131-999817.",insurance grounded-qa fine-tuning instruction bilingual,minimal,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+3132,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; 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: 3132-614264.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+3133,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3133-753915.",insurance grounded-qa fine-tuning instruction bilingual,clean,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+3134,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3134-551571.",insurance grounded-qa fine-tuning instruction bilingual,clean,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+3135,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3135-162136.",insurance grounded-qa fine-tuning instruction bilingual,minimal,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+3136,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3136-678848.",insurance grounded-qa fine-tuning instruction bilingual,minimal,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+3137,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: BILINGUAL; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3137-868612.",insurance grounded-qa fine-tuning instruction bilingual,detailed,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+3138,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3138-594596.",insurance grounded-qa fine-tuning instruction bilingual,detailed,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+3139,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3139-717540.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+3140,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ml engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3140-208051.",insurance grounded-qa fine-tuning instruction bilingual,clean,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+3141,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: BILINGUAL; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3141-524122.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+3142,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3142-410366.",insurance grounded-qa fine-tuning instruction bilingual,stylized,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+3143,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3143-188147.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+3144,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3144-696620.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+3145,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: data scientist; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3145-144967.",insurance grounded-qa fine-tuning instruction bilingual,clean,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+3146,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3146-558037.",insurance grounded-qa fine-tuning instruction bilingual,minimal,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+3147,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: BILINGUAL; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3147-377614.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+3148,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3148-294564.",insurance grounded-qa fine-tuning instruction bilingual,stylized,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+3149,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: data scientist; Task: benchmarking; Format: long-context; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3149-378486.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+3150,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3150-566256.",insurance grounded-qa fine-tuning instruction bilingual,minimal,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+3151,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3151-540488.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+3152,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3152-341726.",insurance grounded-qa fine-tuning instruction bilingual,stylized,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+3153,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3153-498732.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+3154,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3154-638775.",insurance grounded-qa fine-tuning instruction bilingual,detailed,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+3155,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; 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: 3155-887335.",insurance grounded-qa fine-tuning instruction bilingual,minimal,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+3156,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3156-304709.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+3157,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; 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: 3157-159871.",insurance grounded-qa fine-tuning instruction bilingual,detailed,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+3158,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; 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: 3158-534859.",insurance grounded-qa fine-tuning instruction bilingual,minimal,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+3159,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3159-500455.",insurance grounded-qa fine-tuning instruction bilingual,clean,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+3160,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3160-448273.",insurance grounded-qa fine-tuning instruction bilingual,clean,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+3161,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: BILINGUAL; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3161-184627.",insurance grounded-qa fine-tuning instruction bilingual,clean,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+3162,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; 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: 3162-532321.",insurance grounded-qa fine-tuning instruction bilingual,detailed,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+3163,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3163-359979.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+3164,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: data scientist; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3164-248080.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+3165,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3165-396003.",insurance grounded-qa fine-tuning instruction bilingual,stylized,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+3166,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3166-128524.",insurance grounded-qa fine-tuning instruction bilingual,stylized,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+3167,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3167-864532.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+3168,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3168-805964.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+3169,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3169-584552.",insurance grounded-qa fine-tuning instruction bilingual,stylized,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+3170,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3170-906709.",insurance grounded-qa fine-tuning instruction bilingual,clean,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+3171,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; 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: 3171-323476.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+3172,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3172-281733.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+3173,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: data scientist; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3173-526707.",insurance grounded-qa fine-tuning instruction bilingual,stylized,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+3174,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3174-946330.",insurance grounded-qa fine-tuning instruction bilingual,clean,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+3175,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; 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: 3175-789855.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+3176,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3176-199153.",insurance grounded-qa fine-tuning instruction bilingual,detailed,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+3177,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: data scientist; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3177-366914.",insurance grounded-qa fine-tuning instruction bilingual,minimal,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+3178,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3178-793569.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+3179,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: BILINGUAL; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3179-957962.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+3180,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3180-737366.",insurance grounded-qa fine-tuning instruction bilingual,clean,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+3181,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; 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: 3181-870452.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+3182,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-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: 3182-732856.",insurance grounded-qa fine-tuning instruction bilingual,minimal,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+3183,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3183-837146.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+3184,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; 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: 3184-921559.",insurance grounded-qa fine-tuning instruction bilingual,stylized,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+3185,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3185-685156.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+3186,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3186-139368.",insurance grounded-qa fine-tuning instruction bilingual,detailed,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+3187,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3187-785314.",insurance grounded-qa fine-tuning instruction bilingual,stylized,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+3188,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-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: 3188-196676.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+3189,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-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: 3189-321885.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+3190,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; 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: 3190-217297.",insurance grounded-qa fine-tuning instruction bilingual,minimal,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+3191,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; 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: 3191-569381.",insurance grounded-qa fine-tuning instruction bilingual,stylized,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+3192,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: BILINGUAL; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3192-500800.",insurance grounded-qa fine-tuning instruction bilingual,detailed,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+3193,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: BILINGUAL; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3193-165877.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+3194,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: BILINGUAL; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3194-618368.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+3195,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3195-335497.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+3196,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3196-426783.",insurance grounded-qa fine-tuning instruction bilingual,clean,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+3197,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3197-852510.",insurance grounded-qa fine-tuning instruction bilingual,stylized,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+3198,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3198-806933.",insurance grounded-qa fine-tuning instruction bilingual,detailed,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+3199,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-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: 3199-144698.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+3200,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: BILINGUAL; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3200-550804.",insurance grounded-qa fine-tuning instruction bilingual,clean,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+3201,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: BILINGUAL; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3201-177055.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+3202,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; 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: 3202-136571.",insurance grounded-qa fine-tuning instruction bilingual,clean,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+3203,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3203-511109.",insurance grounded-qa fine-tuning instruction bilingual,clean,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+3204,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ai researcher; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3204-417356.",insurance grounded-qa fine-tuning instruction bilingual,minimal,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+3205,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-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: 3205-821719.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+3206,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3206-478974.",insurance grounded-qa fine-tuning instruction bilingual,stylized,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+3207,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3207-713962.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+3208,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; 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: 3208-346347.",insurance grounded-qa fine-tuning instruction bilingual,detailed,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+3209,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3209-150050.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+3210,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3210-158413.",insurance grounded-qa fine-tuning instruction bilingual,stylized,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+3211,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3211-452562.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+3212,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; 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: 3212-806304.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+3213,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3213-716053.",insurance grounded-qa fine-tuning instruction bilingual,detailed,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+3214,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3214-794315.",insurance grounded-qa fine-tuning instruction bilingual,detailed,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+3215,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-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: 3215-903713.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+3216,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3216-515938.",insurance grounded-qa fine-tuning instruction bilingual,stylized,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+3217,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: BILINGUAL; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3217-679647.",insurance grounded-qa fine-tuning instruction bilingual,stylized,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+3218,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; 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: 3218-574404.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+3219,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3219-359392.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+3220,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3220-399609.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+3221,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3221-591075.",insurance grounded-qa fine-tuning instruction bilingual,detailed,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+3222,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ai researcher; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3222-584316.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+3223,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3223-492074.",insurance grounded-qa fine-tuning instruction bilingual,stylized,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+3224,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3224-122764.",insurance grounded-qa fine-tuning instruction bilingual,stylized,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+3225,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: BILINGUAL; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3225-380267.",insurance grounded-qa fine-tuning instruction bilingual,minimal,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+3226,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3226-346236.",insurance grounded-qa fine-tuning instruction bilingual,minimal,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+3227,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3227-572173.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+3228,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: BILINGUAL; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3228-714154.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+3229,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: data scientist; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3229-694794.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+3230,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3230-377117.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+3231,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: data scientist; Task: grounding-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3231-949168.",insurance grounded-qa fine-tuning instruction bilingual,clean,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+3232,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: BILINGUAL; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3232-467173.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+3233,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3233-786374.",insurance grounded-qa fine-tuning instruction bilingual,minimal,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+3234,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3234-564274.",insurance grounded-qa fine-tuning instruction bilingual,stylized,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+3235,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ml engineer; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3235-193444.",insurance grounded-qa fine-tuning instruction bilingual,stylized,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+3236,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: data scientist; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3236-926490.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+3237,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3237-883198.",insurance grounded-qa fine-tuning instruction bilingual,minimal,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+3238,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3238-375259.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+3239,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3239-280417.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+3240,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3240-646238.",insurance grounded-qa fine-tuning instruction bilingual,detailed,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+3241,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3241-537035.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+3242,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: BILINGUAL; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3242-322432.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+3243,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: data scientist; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3243-115217.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+3244,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; 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: 3244-328390.",insurance grounded-qa fine-tuning instruction bilingual,clean,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+3245,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-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: 3245-631743.",insurance grounded-qa fine-tuning instruction bilingual,detailed,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+3246,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3246-431326.",insurance grounded-qa fine-tuning instruction bilingual,clean,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+3247,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3247-776292.",insurance grounded-qa fine-tuning instruction bilingual,stylized,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+3248,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; 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: 3248-328665.",insurance grounded-qa fine-tuning instruction bilingual,stylized,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+3249,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3249-833425.",insurance grounded-qa fine-tuning instruction bilingual,stylized,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+3250,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: data scientist; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3250-642766.",insurance grounded-qa fine-tuning instruction bilingual,stylized,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+3251,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3251-287071.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+3252,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3252-977061.",insurance grounded-qa fine-tuning instruction bilingual,clean,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+3253,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3253-144341.",insurance grounded-qa fine-tuning instruction bilingual,detailed,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+3254,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3254-434639.",insurance grounded-qa fine-tuning instruction bilingual,stylized,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+3255,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: BILINGUAL; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3255-529671.",insurance grounded-qa fine-tuning instruction bilingual,detailed,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+3256,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; 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: 3256-800445.",insurance grounded-qa fine-tuning instruction bilingual,clean,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+3257,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3257-761013.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+3258,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3258-508893.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+3259,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3259-975543.",insurance grounded-qa fine-tuning instruction bilingual,detailed,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+3260,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3260-894627.",insurance grounded-qa fine-tuning instruction bilingual,stylized,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+3261,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ai researcher; Task: quality-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3261-312569.",insurance grounded-qa fine-tuning instruction bilingual,clean,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+3262,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3262-932358.",insurance grounded-qa fine-tuning instruction bilingual,detailed,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+3263,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ml engineer; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3263-655072.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+3264,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: data scientist; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3264-418344.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+3265,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3265-726511.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+3266,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3266-132896.",insurance grounded-qa fine-tuning instruction bilingual,clean,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+3267,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: data scientist; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3267-501041.",insurance grounded-qa fine-tuning instruction bilingual,minimal,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+3268,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: platform engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3268-624607.",insurance grounded-qa fine-tuning instruction bilingual,clean,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+3269,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3269-847449.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+3270,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3270-876071.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+3271,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3271-218864.",insurance grounded-qa fine-tuning instruction bilingual,minimal,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+3272,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; 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: 3272-999638.",insurance grounded-qa fine-tuning instruction bilingual,detailed,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+3273,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3273-612278.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+3274,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3274-263580.",insurance grounded-qa fine-tuning instruction bilingual,stylized,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+3275,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3275-113208.",insurance grounded-qa fine-tuning instruction bilingual,clean,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+3276,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3276-275186.",insurance grounded-qa fine-tuning instruction bilingual,minimal,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+3277,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3277-486619.",insurance grounded-qa fine-tuning instruction bilingual,detailed,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+3278,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3278-541517.",insurance grounded-qa fine-tuning instruction bilingual,clean,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+3279,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3279-860860.",insurance grounded-qa fine-tuning instruction bilingual,detailed,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+3280,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; 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: 3280-134780.",insurance grounded-qa fine-tuning instruction bilingual,minimal,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+3281,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ai researcher; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3281-979808.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+3282,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3282-476064.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+3283,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; 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: 3283-621501.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+3284,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3284-676474.",insurance grounded-qa fine-tuning instruction bilingual,detailed,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+3285,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: BILINGUAL; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3285-391893.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+3286,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3286-740249.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+3287,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3287-626805.",insurance grounded-qa fine-tuning instruction bilingual,minimal,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+3288,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3288-859764.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+3289,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3289-115500.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+3290,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; 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: 3290-960198.",insurance grounded-qa fine-tuning instruction bilingual,detailed,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+3291,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3291-293813.",insurance grounded-qa fine-tuning instruction bilingual,stylized,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+3292,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3292-784459.",insurance grounded-qa fine-tuning instruction bilingual,clean,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+3293,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3293-598803.",insurance grounded-qa fine-tuning instruction bilingual,stylized,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+3294,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: data scientist; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3294-473250.",insurance grounded-qa fine-tuning instruction bilingual,stylized,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+3295,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3295-513465.",insurance grounded-qa fine-tuning instruction bilingual,detailed,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+3296,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3296-122438.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+3297,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: platform engineer; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3297-589300.",insurance grounded-qa fine-tuning instruction bilingual,stylized,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+3298,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3298-265480.",insurance grounded-qa fine-tuning instruction bilingual,minimal,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+3299,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3299-713095.",insurance grounded-qa fine-tuning instruction bilingual,stylized,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+3300,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ml engineer; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3300-381623.",insurance grounded-qa fine-tuning instruction bilingual,clean,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+3301,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-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: 3301-667068.",insurance grounded-qa fine-tuning instruction bilingual,detailed,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+3302,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: data scientist; Task: quality-check; Format: long-context; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3302-609096.",insurance grounded-qa fine-tuning instruction bilingual,minimal,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+3303,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: data scientist; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3303-949055.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+3304,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3304-938952.",insurance grounded-qa fine-tuning instruction bilingual,stylized,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+3305,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3305-605630.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+3306,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3306-829090.",insurance grounded-qa fine-tuning instruction bilingual,minimal,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+3307,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: BILINGUAL; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3307-789532.",insurance grounded-qa fine-tuning instruction bilingual,stylized,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+3308,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3308-450241.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+3309,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3309-973539.",insurance grounded-qa fine-tuning instruction bilingual,stylized,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+3310,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3310-235700.",insurance grounded-qa fine-tuning instruction bilingual,stylized,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+3311,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: data scientist; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3311-765643.",insurance grounded-qa fine-tuning instruction bilingual,minimal,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+3312,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; 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: 3312-136449.",insurance grounded-qa fine-tuning instruction bilingual,minimal,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+3313,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3313-124397.",insurance grounded-qa fine-tuning instruction bilingual,minimal,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+3314,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: BILINGUAL; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3314-729530.",insurance grounded-qa fine-tuning instruction bilingual,clean,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+3315,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3315-888611.",insurance grounded-qa fine-tuning instruction bilingual,stylized,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+3316,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3316-561208.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+3317,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: BILINGUAL; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3317-707779.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+3318,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3318-346675.",insurance grounded-qa fine-tuning instruction bilingual,clean,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+3319,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; 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: 3319-386945.",insurance grounded-qa fine-tuning instruction bilingual,clean,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+3320,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: BILINGUAL; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3320-762896.",insurance grounded-qa fine-tuning instruction bilingual,minimal,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+3321,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3321-840484.",insurance grounded-qa fine-tuning instruction bilingual,minimal,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+3322,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: BILINGUAL; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3322-237256.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+3323,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3323-714406.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+3324,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3324-226543.",insurance grounded-qa fine-tuning instruction bilingual,stylized,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+3325,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; 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: 3325-462107.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+3326,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; 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: 3326-201278.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+3327,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: platform engineer; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3327-130230.",insurance grounded-qa fine-tuning instruction bilingual,minimal,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+3328,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; 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: 3328-247257.",insurance grounded-qa fine-tuning instruction bilingual,detailed,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+3329,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: data scientist; Task: benchmarking; Format: long-context; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3329-619653.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+3330,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; 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: 3330-336858.",insurance grounded-qa fine-tuning instruction bilingual,stylized,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+3331,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3331-109918.",insurance grounded-qa fine-tuning instruction bilingual,detailed,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+3332,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3332-219205.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+3333,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: platform engineer; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3333-804645.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+3334,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ai researcher; Task: quality-check; Format: long-context; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3334-811168.",insurance grounded-qa fine-tuning instruction bilingual,clean,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+3335,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ai researcher; Task: quality-check; Format: long-context; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3335-290302.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+3336,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; 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: 3336-238235.",insurance grounded-qa fine-tuning instruction bilingual,minimal,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+3337,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3337-281102.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+3338,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: platform engineer; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3338-659092.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+3339,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; 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: 3339-840895.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+3340,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3340-665061.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+3341,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; 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: 3341-518394.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+3342,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-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: 3342-575213.",insurance grounded-qa fine-tuning instruction bilingual,clean,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+3343,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: BILINGUAL; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3343-478971.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+3344,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: data scientist; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3344-386948.",insurance grounded-qa fine-tuning instruction bilingual,clean,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+3345,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; 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: 3345-851718.",insurance grounded-qa fine-tuning instruction bilingual,stylized,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+3346,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; 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: 3346-541483.",insurance grounded-qa fine-tuning instruction bilingual,stylized,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+3347,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; 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: 3347-947921.",insurance grounded-qa fine-tuning instruction bilingual,minimal,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+3348,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: BILINGUAL; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3348-133519.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+3349,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3349-795981.",insurance grounded-qa fine-tuning instruction bilingual,stylized,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+3350,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3350-894549.",insurance grounded-qa fine-tuning instruction bilingual,stylized,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+3351,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3351-539686.",insurance grounded-qa fine-tuning instruction bilingual,minimal,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+3352,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ai researcher; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3352-466252.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+3353,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3353-806447.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+3354,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3354-662876.",insurance grounded-qa fine-tuning instruction bilingual,minimal,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+3355,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3355-173308.",insurance grounded-qa fine-tuning instruction bilingual,clean,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+3356,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3356-560273.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+3357,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3357-774617.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+3358,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; 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: 3358-413831.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+3359,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3359-463289.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+3360,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; 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: 3360-588601.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+3361,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; 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: 3361-393433.",insurance grounded-qa fine-tuning instruction bilingual,minimal,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+3362,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: BILINGUAL; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3362-715001.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+3363,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-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: 3363-383399.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+3364,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: platform engineer; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3364-861837.",insurance grounded-qa fine-tuning instruction bilingual,stylized,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+3365,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3365-749816.",insurance grounded-qa fine-tuning instruction bilingual,stylized,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+3366,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: BILINGUAL; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3366-537934.",insurance grounded-qa fine-tuning instruction bilingual,detailed,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+3367,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3367-274620.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+3368,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3368-298482.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+3369,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3369-289649.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+3370,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; 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: 3370-287020.",insurance grounded-qa fine-tuning instruction bilingual,clean,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+3371,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3371-563005.",insurance grounded-qa fine-tuning instruction bilingual,stylized,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+3372,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3372-191295.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+3373,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3373-165129.",insurance grounded-qa fine-tuning instruction bilingual,minimal,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+3374,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3374-285334.",insurance grounded-qa fine-tuning instruction bilingual,detailed,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+3375,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: BILINGUAL; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3375-874538.",insurance grounded-qa fine-tuning instruction bilingual,minimal,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+3376,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3376-199366.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+3377,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3377-734599.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+3378,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: data scientist; Task: benchmarking; Format: long-context; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3378-568756.",insurance grounded-qa fine-tuning instruction bilingual,minimal,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+3379,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3379-503753.",insurance grounded-qa fine-tuning instruction bilingual,clean,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+3380,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-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: 3380-419560.",insurance grounded-qa fine-tuning instruction bilingual,detailed,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+3381,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ai researcher; Task: quality-check; Format: long-context; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3381-193194.",insurance grounded-qa fine-tuning instruction bilingual,clean,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+3382,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3382-478319.",insurance grounded-qa fine-tuning instruction bilingual,clean,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+3383,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: data scientist; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3383-913096.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+3384,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3384-178488.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+3385,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ai researcher; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3385-854487.",insurance grounded-qa fine-tuning instruction bilingual,clean,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+3386,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3386-686702.",insurance grounded-qa fine-tuning instruction bilingual,clean,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+3387,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3387-204218.",insurance grounded-qa fine-tuning instruction bilingual,stylized,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+3388,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3388-319102.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+3389,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3389-707657.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+3390,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3390-659011.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+3391,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; 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: 3391-707597.",insurance grounded-qa fine-tuning instruction bilingual,minimal,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+3392,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3392-884358.",insurance grounded-qa fine-tuning instruction bilingual,minimal,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+3393,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; 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: 3393-502477.",insurance grounded-qa fine-tuning instruction bilingual,detailed,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+3394,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3394-795775.",insurance grounded-qa fine-tuning instruction bilingual,detailed,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+3395,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3395-928580.",insurance grounded-qa fine-tuning instruction bilingual,minimal,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+3396,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3396-990281.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+3397,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: data scientist; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3397-263410.",insurance grounded-qa fine-tuning instruction bilingual,clean,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+3398,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3398-802753.",insurance grounded-qa fine-tuning instruction bilingual,stylized,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+3399,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ml engineer; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3399-438730.",insurance grounded-qa fine-tuning instruction bilingual,minimal,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+3400,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; 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: 3400-175441.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+3401,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3401-983041.",insurance grounded-qa fine-tuning instruction bilingual,minimal,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+3402,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-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: 3402-642204.",insurance grounded-qa fine-tuning instruction bilingual,minimal,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+3403,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3403-942744.",insurance grounded-qa fine-tuning instruction bilingual,stylized,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+3404,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: platform engineer; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3404-833102.",insurance grounded-qa fine-tuning instruction bilingual,minimal,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+3405,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-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: 3405-332248.",insurance grounded-qa fine-tuning instruction bilingual,clean,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+3406,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3406-736403.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+3407,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: BILINGUAL; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3407-779930.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+3408,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3408-530178.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+3409,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3409-458290.",insurance grounded-qa fine-tuning instruction bilingual,minimal,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+3410,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3410-199253.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+3411,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3411-245631.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+3412,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; 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: 3412-556830.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+3413,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3413-554723.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+3414,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3414-296632.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+3415,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3415-574066.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+3416,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3416-819748.",insurance grounded-qa fine-tuning instruction bilingual,clean,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+3417,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3417-173559.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+3418,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3418-881784.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+3419,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ai researcher; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3419-799276.",insurance grounded-qa fine-tuning instruction bilingual,detailed,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+3420,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3420-862092.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+3421,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3421-264318.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+3422,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3422-286150.",insurance grounded-qa fine-tuning instruction bilingual,clean,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+3423,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3423-533188.",insurance grounded-qa fine-tuning instruction bilingual,minimal,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+3424,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: data scientist; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3424-255129.",insurance grounded-qa fine-tuning instruction bilingual,stylized,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+3425,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3425-350639.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+3426,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; 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: 3426-107961.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+3427,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3427-304607.",insurance grounded-qa fine-tuning instruction bilingual,stylized,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+3428,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3428-333145.",insurance grounded-qa fine-tuning instruction bilingual,detailed,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+3429,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3429-998026.",insurance grounded-qa fine-tuning instruction bilingual,detailed,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+3430,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3430-599754.",insurance grounded-qa fine-tuning instruction bilingual,clean,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+3431,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: data scientist; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3431-688502.",insurance grounded-qa fine-tuning instruction bilingual,stylized,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+3432,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3432-881702.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+3433,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: BILINGUAL; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3433-929547.",insurance grounded-qa fine-tuning instruction bilingual,detailed,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+3434,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3434-605921.",insurance grounded-qa fine-tuning instruction bilingual,detailed,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+3435,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; 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: 3435-278278.",insurance grounded-qa fine-tuning instruction bilingual,detailed,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+3436,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3436-992413.",insurance grounded-qa fine-tuning instruction bilingual,minimal,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+3437,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3437-817604.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+3438,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3438-292166.",insurance grounded-qa fine-tuning instruction bilingual,stylized,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+3439,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: data scientist; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3439-174010.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+3440,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3440-285534.",insurance grounded-qa fine-tuning instruction bilingual,minimal,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+3441,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3441-484704.",insurance grounded-qa fine-tuning instruction bilingual,clean,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+3442,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3442-800041.",insurance grounded-qa fine-tuning instruction bilingual,stylized,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+3443,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3443-937627.",insurance grounded-qa fine-tuning instruction bilingual,stylized,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+3444,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: BILINGUAL; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3444-983030.",insurance grounded-qa fine-tuning instruction bilingual,minimal,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+3445,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3445-412896.",insurance grounded-qa fine-tuning instruction bilingual,clean,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+3446,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: data scientist; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3446-405152.",insurance grounded-qa fine-tuning instruction bilingual,clean,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+3447,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3447-239246.",insurance grounded-qa fine-tuning instruction bilingual,detailed,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+3448,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3448-956272.",insurance grounded-qa fine-tuning instruction bilingual,minimal,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+3449,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3449-736155.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+3450,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: data scientist; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3450-546666.",insurance grounded-qa fine-tuning instruction bilingual,clean,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+3451,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; 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: 3451-597344.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+3452,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: data scientist; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3452-772437.",insurance grounded-qa fine-tuning instruction bilingual,clean,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+3453,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-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: 3453-504487.",insurance grounded-qa fine-tuning instruction bilingual,clean,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+3454,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3454-354319.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+3455,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3455-380956.",insurance grounded-qa fine-tuning instruction bilingual,clean,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+3456,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3456-548688.",insurance grounded-qa fine-tuning instruction bilingual,stylized,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+3457,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: BILINGUAL; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3457-749135.",insurance grounded-qa fine-tuning instruction bilingual,detailed,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+3458,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3458-295092.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+3459,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3459-109505.",insurance grounded-qa fine-tuning instruction bilingual,detailed,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+3460,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-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: 3460-617347.",insurance grounded-qa fine-tuning instruction bilingual,detailed,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+3461,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: BILINGUAL; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3461-824694.",insurance grounded-qa fine-tuning instruction bilingual,detailed,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+3462,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3462-975233.",insurance grounded-qa fine-tuning instruction bilingual,clean,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+3463,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; 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: 3463-750963.",insurance grounded-qa fine-tuning instruction bilingual,stylized,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+3464,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: data scientist; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3464-141246.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+3465,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3465-931562.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+3466,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3466-372854.",insurance grounded-qa fine-tuning instruction bilingual,minimal,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+3467,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3467-657212.",insurance grounded-qa fine-tuning instruction bilingual,minimal,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+3468,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-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: 3468-888241.",insurance grounded-qa fine-tuning instruction bilingual,minimal,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+3469,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3469-516010.",insurance grounded-qa fine-tuning instruction bilingual,detailed,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+3470,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3470-748645.",insurance grounded-qa fine-tuning instruction bilingual,stylized,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+3471,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3471-279435.",insurance grounded-qa fine-tuning instruction bilingual,detailed,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+3472,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3472-230728.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+3473,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3473-177567.",insurance grounded-qa fine-tuning instruction bilingual,minimal,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+3474,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3474-265128.",insurance grounded-qa fine-tuning instruction bilingual,stylized,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+3475,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ai researcher; Task: quality-check; Format: long-context; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3475-941457.",insurance grounded-qa fine-tuning instruction bilingual,detailed,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+3476,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3476-629484.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+3477,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3477-256693.",insurance grounded-qa fine-tuning instruction bilingual,stylized,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+3478,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3478-508915.",insurance grounded-qa fine-tuning instruction bilingual,clean,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+3479,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3479-889697.",insurance grounded-qa fine-tuning instruction bilingual,minimal,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+3480,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: data scientist; Task: grounding-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3480-711730.",insurance grounded-qa fine-tuning instruction bilingual,clean,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+3481,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3481-538413.",insurance grounded-qa fine-tuning instruction bilingual,stylized,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+3482,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-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: 3482-472903.",insurance grounded-qa fine-tuning instruction bilingual,detailed,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+3483,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ai researcher; Task: quality-check; Format: long-context; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3483-457342.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+3484,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3484-150886.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+3485,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3485-629111.",insurance grounded-qa fine-tuning instruction bilingual,clean,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+3486,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3486-941090.",insurance grounded-qa fine-tuning instruction bilingual,detailed,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+3487,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3487-281711.",insurance grounded-qa fine-tuning instruction bilingual,detailed,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+3488,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3488-236458.",insurance grounded-qa fine-tuning instruction bilingual,minimal,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+3489,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3489-330975.",insurance grounded-qa fine-tuning instruction bilingual,detailed,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+3490,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3490-217902.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+3491,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: BILINGUAL; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3491-921803.",insurance grounded-qa fine-tuning instruction bilingual,stylized,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+3492,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: BILINGUAL; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3492-917289.",insurance grounded-qa fine-tuning instruction bilingual,clean,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+3493,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3493-762115.",insurance grounded-qa fine-tuning instruction bilingual,minimal,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+3494,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: platform engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3494-783122.",insurance grounded-qa fine-tuning instruction bilingual,clean,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+3495,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3495-712984.",insurance grounded-qa fine-tuning instruction bilingual,minimal,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+3496,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; 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: 3496-190558.",insurance grounded-qa fine-tuning instruction bilingual,detailed,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+3497,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3497-408227.",insurance grounded-qa fine-tuning instruction bilingual,clean,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+3498,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3498-946410.",insurance grounded-qa fine-tuning instruction bilingual,clean,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+3499,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3499-209310.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+3500,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3500-977955.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+3501,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3501-716393.",insurance grounded-qa fine-tuning instruction bilingual,minimal,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+3502,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3502-590110.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+3503,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3503-616424.",insurance grounded-qa fine-tuning instruction bilingual,detailed,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+3504,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ai researcher; Task: quality-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3504-839498.",insurance grounded-qa fine-tuning instruction bilingual,minimal,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+3505,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3505-420324.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+3506,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3506-130586.",insurance grounded-qa fine-tuning instruction bilingual,detailed,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+3507,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3507-133547.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+3508,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3508-801829.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+3509,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3509-644916.",insurance grounded-qa fine-tuning instruction bilingual,detailed,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+3510,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3510-285206.",insurance grounded-qa fine-tuning instruction bilingual,detailed,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+3511,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3511-106839.",insurance grounded-qa fine-tuning instruction bilingual,clean,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+3512,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3512-395142.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+3513,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ml engineer; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3513-363858.",insurance grounded-qa fine-tuning instruction bilingual,stylized,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+3514,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3514-878287.",insurance grounded-qa fine-tuning instruction bilingual,clean,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+3515,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3515-186668.",insurance grounded-qa fine-tuning instruction bilingual,minimal,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+3516,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3516-753649.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+3517,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3517-950245.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+3518,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3518-208069.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+3519,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3519-928600.",insurance grounded-qa fine-tuning instruction bilingual,minimal,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+3520,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3520-567468.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+3521,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: data scientist; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3521-196015.",insurance grounded-qa fine-tuning instruction bilingual,stylized,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+3522,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3522-174857.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+3523,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3523-790773.",insurance grounded-qa fine-tuning instruction bilingual,stylized,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+3524,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3524-116850.",insurance grounded-qa fine-tuning instruction bilingual,detailed,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+3525,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; 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: 3525-620232.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+3526,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3526-314090.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+3527,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: BILINGUAL; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3527-719260.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+3528,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3528-325411.",insurance grounded-qa fine-tuning instruction bilingual,minimal,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+3529,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3529-871237.",insurance grounded-qa fine-tuning instruction bilingual,stylized,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+3530,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3530-798931.",insurance grounded-qa fine-tuning instruction bilingual,stylized,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+3531,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3531-746788.",insurance grounded-qa fine-tuning instruction bilingual,clean,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+3532,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3532-459036.",insurance grounded-qa fine-tuning instruction bilingual,stylized,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+3533,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3533-165360.",insurance grounded-qa fine-tuning instruction bilingual,stylized,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+3534,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: BILINGUAL; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3534-260555.",insurance grounded-qa fine-tuning instruction bilingual,clean,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+3535,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3535-573320.",insurance grounded-qa fine-tuning instruction bilingual,stylized,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+3536,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; 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: 3536-817914.",insurance grounded-qa fine-tuning instruction bilingual,clean,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+3537,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3537-874411.",insurance grounded-qa fine-tuning instruction bilingual,stylized,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+3538,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3538-502931.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+3539,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3539-442071.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+3540,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3540-906128.",insurance grounded-qa fine-tuning instruction bilingual,stylized,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+3541,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: BILINGUAL; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3541-883206.",insurance grounded-qa fine-tuning instruction bilingual,stylized,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+3542,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3542-743301.",insurance grounded-qa fine-tuning instruction bilingual,stylized,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+3543,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3543-831092.",insurance grounded-qa fine-tuning instruction bilingual,stylized,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+3544,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3544-616658.",insurance grounded-qa fine-tuning instruction bilingual,detailed,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+3545,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3545-495270.",insurance grounded-qa fine-tuning instruction bilingual,minimal,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+3546,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3546-125245.",insurance grounded-qa fine-tuning instruction bilingual,minimal,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+3547,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3547-817636.",insurance grounded-qa fine-tuning instruction bilingual,detailed,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+3548,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3548-220081.",insurance grounded-qa fine-tuning instruction bilingual,minimal,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+3549,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; 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: 3549-859329.",insurance grounded-qa fine-tuning instruction bilingual,clean,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+3550,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3550-741833.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+3551,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3551-283435.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+3552,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3552-856997.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+3553,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3553-456886.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+3554,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; 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: 3554-924748.",insurance grounded-qa fine-tuning instruction bilingual,detailed,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+3555,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3555-368061.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+3556,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ml engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3556-110983.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+3557,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: data scientist; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3557-680684.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+3558,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3558-747062.",insurance grounded-qa fine-tuning instruction bilingual,stylized,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+3559,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3559-482270.",insurance grounded-qa fine-tuning instruction bilingual,detailed,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+3560,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: data scientist; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3560-603408.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+3561,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; 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: 3561-722399.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+3562,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3562-266224.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+3563,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3563-181605.",insurance grounded-qa fine-tuning instruction bilingual,stylized,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+3564,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3564-994908.",insurance grounded-qa fine-tuning instruction bilingual,clean,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+3565,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; 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: 3565-166202.",insurance grounded-qa fine-tuning instruction bilingual,detailed,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+3566,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3566-830361.",insurance grounded-qa fine-tuning instruction bilingual,minimal,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+3567,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; 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: 3567-616631.",insurance grounded-qa fine-tuning instruction bilingual,minimal,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+3568,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: platform engineer; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3568-763409.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+3569,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3569-893727.",insurance grounded-qa fine-tuning instruction bilingual,minimal,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+3570,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3570-367546.",insurance grounded-qa fine-tuning instruction bilingual,clean,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+3571,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-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: 3571-838577.",insurance grounded-qa fine-tuning instruction bilingual,stylized,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+3572,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ml engineer; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3572-667618.",insurance grounded-qa fine-tuning instruction bilingual,minimal,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+3573,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3573-723384.",insurance grounded-qa fine-tuning instruction bilingual,minimal,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+3574,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: platform engineer; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3574-211186.",insurance grounded-qa fine-tuning instruction bilingual,clean,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+3575,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3575-537146.",insurance grounded-qa fine-tuning instruction bilingual,detailed,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+3576,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-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: 3576-840073.",insurance grounded-qa fine-tuning instruction bilingual,minimal,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+3577,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-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: 3577-623712.",insurance grounded-qa fine-tuning instruction bilingual,detailed,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+3578,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3578-552438.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+3579,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; 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: 3579-596752.",insurance grounded-qa fine-tuning instruction bilingual,stylized,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+3580,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3580-105861.",insurance grounded-qa fine-tuning instruction bilingual,detailed,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+3581,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-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: 3581-369795.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+3582,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3582-218282.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+3583,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; 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: 3583-489516.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+3584,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3584-311466.",insurance grounded-qa fine-tuning instruction bilingual,clean,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+3585,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; 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: 3585-489869.",insurance grounded-qa fine-tuning instruction bilingual,clean,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+3586,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: BILINGUAL; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3586-153698.",insurance grounded-qa fine-tuning instruction bilingual,detailed,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+3587,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3587-423949.",insurance grounded-qa fine-tuning instruction bilingual,stylized,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+3588,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3588-228222.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+3589,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3589-329762.",insurance grounded-qa fine-tuning instruction bilingual,stylized,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+3590,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3590-964500.",insurance grounded-qa fine-tuning instruction bilingual,detailed,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+3591,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3591-277637.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+3592,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3592-376874.",insurance grounded-qa fine-tuning instruction bilingual,detailed,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+3593,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3593-996352.",insurance grounded-qa fine-tuning instruction bilingual,minimal,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+3594,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; 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: 3594-931526.",insurance grounded-qa fine-tuning instruction bilingual,minimal,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+3595,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: data scientist; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3595-738894.",insurance grounded-qa fine-tuning instruction bilingual,detailed,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+3596,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-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: 3596-540496.",insurance grounded-qa fine-tuning instruction bilingual,detailed,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+3597,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ml engineer; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3597-354433.",insurance grounded-qa fine-tuning instruction bilingual,detailed,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+3598,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3598-319991.",insurance grounded-qa fine-tuning instruction bilingual,minimal,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+3599,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: data scientist; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3599-880197.",insurance grounded-qa fine-tuning instruction bilingual,clean,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+3600,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3600-659327.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+3601,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3601-785897.",insurance grounded-qa fine-tuning instruction bilingual,stylized,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+3602,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-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: 3602-258160.",insurance grounded-qa fine-tuning instruction bilingual,clean,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+3603,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3603-493932.",insurance grounded-qa fine-tuning instruction bilingual,detailed,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+3604,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3604-728384.",insurance grounded-qa fine-tuning instruction bilingual,minimal,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+3605,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3605-117346.",insurance grounded-qa fine-tuning instruction bilingual,stylized,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+3606,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3606-513080.",insurance grounded-qa fine-tuning instruction bilingual,detailed,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+3607,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3607-957066.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+3608,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3608-331583.",insurance grounded-qa fine-tuning instruction bilingual,detailed,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+3609,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-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: 3609-992847.",insurance grounded-qa fine-tuning instruction bilingual,minimal,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+3610,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3610-478743.",insurance grounded-qa fine-tuning instruction bilingual,detailed,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+3611,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3611-766928.",insurance grounded-qa fine-tuning instruction bilingual,detailed,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+3612,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3612-420602.",insurance grounded-qa fine-tuning instruction bilingual,detailed,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+3613,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; 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: 3613-679515.",insurance grounded-qa fine-tuning instruction bilingual,detailed,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+3614,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3614-438536.",insurance grounded-qa fine-tuning instruction bilingual,stylized,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+3615,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3615-676571.",insurance grounded-qa fine-tuning instruction bilingual,detailed,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+3616,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3616-766486.",insurance grounded-qa fine-tuning instruction bilingual,minimal,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+3617,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3617-435889.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+3618,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3618-495573.",insurance grounded-qa fine-tuning instruction bilingual,stylized,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+3619,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: data scientist; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3619-804785.",insurance grounded-qa fine-tuning instruction bilingual,minimal,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+3620,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3620-240628.",insurance grounded-qa fine-tuning instruction bilingual,clean,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+3621,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-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: 3621-302903.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+3622,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3622-469568.",insurance grounded-qa fine-tuning instruction bilingual,stylized,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+3623,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: data scientist; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3623-601377.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+3624,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3624-969330.",insurance grounded-qa fine-tuning instruction bilingual,detailed,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+3625,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3625-131511.",insurance grounded-qa fine-tuning instruction bilingual,minimal,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+3626,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3626-910643.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+3627,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3627-881486.",insurance grounded-qa fine-tuning instruction bilingual,minimal,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+3628,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3628-803894.",insurance grounded-qa fine-tuning instruction bilingual,detailed,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+3629,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; 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: 3629-208377.",insurance grounded-qa fine-tuning instruction bilingual,detailed,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+3630,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: data scientist; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3630-439209.",insurance grounded-qa fine-tuning instruction bilingual,stylized,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+3631,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3631-936213.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+3632,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3632-578607.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+3633,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3633-418373.",insurance grounded-qa fine-tuning instruction bilingual,clean,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+3634,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: data scientist; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3634-800676.",insurance grounded-qa fine-tuning instruction bilingual,stylized,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+3635,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3635-341174.",insurance grounded-qa fine-tuning instruction bilingual,stylized,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+3636,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3636-608412.",insurance grounded-qa fine-tuning instruction bilingual,minimal,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+3637,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; 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: 3637-519510.",insurance grounded-qa fine-tuning instruction bilingual,clean,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+3638,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3638-722012.",insurance grounded-qa fine-tuning instruction bilingual,stylized,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+3639,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-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: 3639-970013.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+3640,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3640-307007.",insurance grounded-qa fine-tuning instruction bilingual,stylized,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+3641,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3641-405425.",insurance grounded-qa fine-tuning instruction bilingual,stylized,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+3642,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-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: 3642-543921.",insurance grounded-qa fine-tuning instruction bilingual,stylized,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+3643,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-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: 3643-800185.",insurance grounded-qa fine-tuning instruction bilingual,clean,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+3644,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3644-488759.",insurance grounded-qa fine-tuning instruction bilingual,detailed,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+3645,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-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: 3645-245782.",insurance grounded-qa fine-tuning instruction bilingual,detailed,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+3646,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3646-236450.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+3647,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3647-762139.",insurance grounded-qa fine-tuning instruction bilingual,minimal,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+3648,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3648-710371.",insurance grounded-qa fine-tuning instruction bilingual,clean,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+3649,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-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: 3649-213877.",insurance grounded-qa fine-tuning instruction bilingual,minimal,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+3650,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3650-268514.",insurance grounded-qa fine-tuning instruction bilingual,stylized,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+3651,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: BILINGUAL; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3651-234583.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+3652,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3652-746324.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+3653,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3653-431561.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+3654,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3654-853565.",insurance grounded-qa fine-tuning instruction bilingual,stylized,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+3655,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-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: 3655-123450.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+3656,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: BILINGUAL; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3656-501718.",insurance grounded-qa fine-tuning instruction bilingual,clean,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+3657,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3657-562941.",insurance grounded-qa fine-tuning instruction bilingual,minimal,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+3658,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3658-777014.",insurance grounded-qa fine-tuning instruction bilingual,detailed,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+3659,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3659-147070.",insurance grounded-qa fine-tuning instruction bilingual,detailed,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+3660,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: BILINGUAL; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3660-611955.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+3661,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3661-467303.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+3662,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3662-890016.",insurance grounded-qa fine-tuning instruction bilingual,clean,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+3663,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3663-103743.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+3664,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ai researcher; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3664-943754.",insurance grounded-qa fine-tuning instruction bilingual,minimal,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+3665,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3665-726221.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+3666,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-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: 3666-860600.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+3667,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3667-743647.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+3668,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: BILINGUAL; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3668-588300.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+3669,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3669-515930.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+3670,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; 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: 3670-332366.",insurance grounded-qa fine-tuning instruction bilingual,detailed,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+3671,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: data scientist; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3671-994160.",insurance grounded-qa fine-tuning instruction bilingual,minimal,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+3672,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: data scientist; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3672-205868.",insurance grounded-qa fine-tuning instruction bilingual,stylized,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+3673,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3673-913917.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+3674,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: data scientist; Task: benchmarking; Format: long-context; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3674-456579.",insurance grounded-qa fine-tuning instruction bilingual,minimal,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+3675,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-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: 3675-768342.",insurance grounded-qa fine-tuning instruction bilingual,stylized,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+3676,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-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: 3676-313934.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+3677,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3677-360120.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+3678,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3678-108432.",insurance grounded-qa fine-tuning instruction bilingual,minimal,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+3679,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3679-163186.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+3680,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: platform engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3680-177922.",insurance grounded-qa fine-tuning instruction bilingual,detailed,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+3681,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3681-803959.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+3682,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: data scientist; Task: quality-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3682-749583.",insurance grounded-qa fine-tuning instruction bilingual,stylized,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+3683,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3683-249371.",insurance grounded-qa fine-tuning instruction bilingual,detailed,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+3684,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3684-116671.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+3685,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3685-224654.",insurance grounded-qa fine-tuning instruction bilingual,minimal,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+3686,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: data scientist; Task: benchmarking; Format: long-context; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3686-724633.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+3687,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3687-826810.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+3688,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3688-261430.",insurance grounded-qa fine-tuning instruction bilingual,minimal,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+3689,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3689-513201.",insurance grounded-qa fine-tuning instruction bilingual,minimal,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+3690,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3690-510812.",insurance grounded-qa fine-tuning instruction bilingual,detailed,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+3691,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3691-141792.",insurance grounded-qa fine-tuning instruction bilingual,stylized,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+3692,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: platform engineer; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3692-139455.",insurance grounded-qa fine-tuning instruction bilingual,stylized,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+3693,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: data scientist; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3693-183253.",insurance grounded-qa fine-tuning instruction bilingual,minimal,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+3694,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3694-274862.",insurance grounded-qa fine-tuning instruction bilingual,detailed,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+3695,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3695-686738.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+3696,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3696-780079.",insurance grounded-qa fine-tuning instruction bilingual,clean,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+3697,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: BILINGUAL; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3697-165248.",insurance grounded-qa fine-tuning instruction bilingual,detailed,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+3698,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: BILINGUAL; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3698-459870.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+3699,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3699-577806.",insurance grounded-qa fine-tuning instruction bilingual,minimal,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+3700,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3700-952840.",insurance grounded-qa fine-tuning instruction bilingual,stylized,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+3701,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-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: 3701-880588.",insurance grounded-qa fine-tuning instruction bilingual,minimal,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+3702,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-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: 3702-124202.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+3703,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3703-455412.",insurance grounded-qa fine-tuning instruction bilingual,stylized,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+3704,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: BILINGUAL; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3704-245266.",insurance grounded-qa fine-tuning instruction bilingual,stylized,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+3705,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: BILINGUAL; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3705-536277.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+3706,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3706-428725.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+3707,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: BILINGUAL; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3707-165319.",insurance grounded-qa fine-tuning instruction bilingual,detailed,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+3708,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: BILINGUAL; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3708-790475.",insurance grounded-qa fine-tuning instruction bilingual,minimal,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+3709,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3709-436189.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+3710,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: data scientist; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3710-940653.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+3711,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3711-455729.",insurance grounded-qa fine-tuning instruction bilingual,detailed,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+3712,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ai researcher; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3712-645028.",insurance grounded-qa fine-tuning instruction bilingual,stylized,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+3713,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; 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: 3713-204732.",insurance grounded-qa fine-tuning instruction bilingual,clean,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+3714,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; 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: 3714-518259.",insurance grounded-qa fine-tuning instruction bilingual,clean,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+3715,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ai researcher; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3715-183307.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+3716,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3716-856930.",insurance grounded-qa fine-tuning instruction bilingual,stylized,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+3717,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3717-612644.",insurance grounded-qa fine-tuning instruction bilingual,stylized,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+3718,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; 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: 3718-665465.",insurance grounded-qa fine-tuning instruction bilingual,stylized,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+3719,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3719-825545.",insurance grounded-qa fine-tuning instruction bilingual,minimal,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+3720,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: BILINGUAL; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3720-976247.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+3721,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3721-608231.",insurance grounded-qa fine-tuning instruction bilingual,minimal,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+3722,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: data scientist; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3722-752347.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+3723,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3723-425129.",insurance grounded-qa fine-tuning instruction bilingual,detailed,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+3724,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3724-755822.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+3725,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-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: 3725-853427.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+3726,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3726-545411.",insurance grounded-qa fine-tuning instruction bilingual,minimal,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+3727,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3727-194738.",insurance grounded-qa fine-tuning instruction bilingual,minimal,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+3728,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3728-433187.",insurance grounded-qa fine-tuning instruction bilingual,clean,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+3729,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3729-804390.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+3730,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3730-953288.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+3731,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: BILINGUAL; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3731-247929.",insurance grounded-qa fine-tuning instruction bilingual,detailed,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+3732,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; 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: 3732-669610.",insurance grounded-qa fine-tuning instruction bilingual,detailed,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+3733,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3733-286964.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+3734,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3734-373447.",insurance grounded-qa fine-tuning instruction bilingual,minimal,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+3735,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; 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: 3735-154339.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+3736,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3736-330159.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+3737,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3737-995535.",insurance grounded-qa fine-tuning instruction bilingual,stylized,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+3738,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3738-851404.",insurance grounded-qa fine-tuning instruction bilingual,minimal,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+3739,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3739-928225.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+3740,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: data scientist; Task: grounding-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3740-969259.",insurance grounded-qa fine-tuning instruction bilingual,stylized,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+3741,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-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: 3741-921277.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+3742,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3742-258825.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+3743,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: BILINGUAL; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3743-341082.",insurance grounded-qa fine-tuning instruction bilingual,detailed,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+3744,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: data scientist; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3744-992073.",insurance grounded-qa fine-tuning instruction bilingual,minimal,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+3745,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ai researcher; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3745-267488.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+3746,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3746-699607.",insurance grounded-qa fine-tuning instruction bilingual,detailed,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+3747,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3747-317789.",insurance grounded-qa fine-tuning instruction bilingual,stylized,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+3748,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3748-829701.",insurance grounded-qa fine-tuning instruction bilingual,clean,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+3749,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; 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: 3749-132457.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+3750,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3750-409467.",insurance grounded-qa fine-tuning instruction bilingual,detailed,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+3751,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; 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: 3751-429075.",insurance grounded-qa fine-tuning instruction bilingual,stylized,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+3752,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3752-553840.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+3753,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; 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: 3753-305852.",insurance grounded-qa fine-tuning instruction bilingual,stylized,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+3754,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3754-793448.",insurance grounded-qa fine-tuning instruction bilingual,detailed,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+3755,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3755-603904.",insurance grounded-qa fine-tuning instruction bilingual,stylized,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+3756,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3756-207004.",insurance grounded-qa fine-tuning instruction bilingual,minimal,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+3757,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3757-424056.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+3758,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3758-128587.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+3759,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; 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: 3759-160043.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+3760,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-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: 3760-686448.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+3761,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3761-314389.",insurance grounded-qa fine-tuning instruction bilingual,clean,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+3762,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: data scientist; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3762-727286.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+3763,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3763-389346.",insurance grounded-qa fine-tuning instruction bilingual,minimal,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+3764,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3764-150274.",insurance grounded-qa fine-tuning instruction bilingual,clean,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+3765,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3765-225356.",insurance grounded-qa fine-tuning instruction bilingual,minimal,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+3766,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; 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: 3766-666375.",insurance grounded-qa fine-tuning instruction bilingual,detailed,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+3767,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3767-307354.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+3768,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3768-886829.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+3769,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: BILINGUAL; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3769-330288.",insurance grounded-qa fine-tuning instruction bilingual,detailed,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+3770,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ai researcher; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3770-150635.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+3771,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; 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: 3771-228865.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+3772,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3772-541309.",insurance grounded-qa fine-tuning instruction bilingual,clean,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+3773,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3773-840610.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+3774,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ml engineer; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3774-915582.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+3775,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3775-194921.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+3776,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3776-666440.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+3777,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3777-517149.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+3778,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3778-118471.",insurance grounded-qa fine-tuning instruction bilingual,minimal,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+3779,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; 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: 3779-807919.",insurance grounded-qa fine-tuning instruction bilingual,minimal,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+3780,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3780-699564.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+3781,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: data scientist; Task: quality-check; Format: long-context; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3781-640597.",insurance grounded-qa fine-tuning instruction bilingual,detailed,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+3782,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: BILINGUAL; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3782-323644.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+3783,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3783-591832.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+3784,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; 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: 3784-949476.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+3785,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3785-103328.",insurance grounded-qa fine-tuning instruction bilingual,minimal,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+3786,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3786-441954.",insurance grounded-qa fine-tuning instruction bilingual,clean,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+3787,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: BILINGUAL; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3787-630507.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+3788,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: platform engineer; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3788-115708.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+3789,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ml engineer; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3789-742001.",insurance grounded-qa fine-tuning instruction bilingual,minimal,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+3790,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3790-627070.",insurance grounded-qa fine-tuning instruction bilingual,stylized,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+3791,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: data scientist; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3791-241829.",insurance grounded-qa fine-tuning instruction bilingual,detailed,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+3792,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; 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: 3792-375592.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+3793,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-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: 3793-827562.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+3794,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ml engineer; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3794-691893.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+3795,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3795-105620.",insurance grounded-qa fine-tuning instruction bilingual,detailed,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+3796,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3796-887084.",insurance grounded-qa fine-tuning instruction bilingual,minimal,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+3797,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; 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: 3797-311974.",insurance grounded-qa fine-tuning instruction bilingual,minimal,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+3798,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3798-423496.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+3799,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; 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: 3799-676627.",insurance grounded-qa fine-tuning instruction bilingual,detailed,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+3800,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3800-131438.",insurance grounded-qa fine-tuning instruction bilingual,minimal,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+3801,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3801-315641.",insurance grounded-qa fine-tuning instruction bilingual,clean,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+3802,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3802-669063.",insurance grounded-qa fine-tuning instruction bilingual,minimal,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+3803,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3803-619538.",insurance grounded-qa fine-tuning instruction bilingual,stylized,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+3804,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3804-531089.",insurance grounded-qa fine-tuning instruction bilingual,detailed,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+3805,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: data scientist; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3805-990849.",insurance grounded-qa fine-tuning instruction bilingual,stylized,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+3806,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3806-619694.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+3807,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3807-900133.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+3808,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3808-133100.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+3809,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3809-652958.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+3810,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3810-827904.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+3811,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; 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: 3811-234383.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+3812,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3812-578038.",insurance grounded-qa fine-tuning instruction bilingual,minimal,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+3813,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-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: 3813-498960.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+3814,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3814-268084.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+3815,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: data scientist; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3815-553609.",insurance grounded-qa fine-tuning instruction bilingual,clean,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+3816,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3816-624044.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+3817,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3817-675661.",insurance grounded-qa fine-tuning instruction bilingual,stylized,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+3818,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: BILINGUAL; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3818-143898.",insurance grounded-qa fine-tuning instruction bilingual,minimal,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+3819,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3819-382606.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+3820,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3820-806435.",insurance grounded-qa fine-tuning instruction bilingual,minimal,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+3821,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3821-870581.",insurance grounded-qa fine-tuning instruction bilingual,stylized,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+3822,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3822-282030.",insurance grounded-qa fine-tuning instruction bilingual,minimal,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+3823,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3823-174946.",insurance grounded-qa fine-tuning instruction bilingual,minimal,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+3824,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: platform engineer; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3824-673911.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+3825,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3825-430776.",insurance grounded-qa fine-tuning instruction bilingual,minimal,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+3826,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-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: 3826-652047.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+3827,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-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: 3827-599466.",insurance grounded-qa fine-tuning instruction bilingual,stylized,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+3828,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3828-934894.",insurance grounded-qa fine-tuning instruction bilingual,stylized,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+3829,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3829-335329.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+3830,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; 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: 3830-741392.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+3831,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3831-944849.",insurance grounded-qa fine-tuning instruction bilingual,detailed,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+3832,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: data scientist; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3832-253192.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+3833,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3833-907817.",insurance grounded-qa fine-tuning instruction bilingual,clean,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+3834,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3834-369687.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+3835,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: BILINGUAL; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3835-695146.",insurance grounded-qa fine-tuning instruction bilingual,clean,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+3836,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3836-568897.",insurance grounded-qa fine-tuning instruction bilingual,detailed,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+3837,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3837-734991.",insurance grounded-qa fine-tuning instruction bilingual,clean,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+3838,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3838-346781.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+3839,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3839-490960.",insurance grounded-qa fine-tuning instruction bilingual,detailed,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+3840,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3840-950348.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+3841,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3841-358269.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+3842,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3842-960848.",insurance grounded-qa fine-tuning instruction bilingual,stylized,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+3843,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3843-390191.",insurance grounded-qa fine-tuning instruction bilingual,clean,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+3844,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; 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: 3844-722042.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+3845,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3845-931411.",insurance grounded-qa fine-tuning instruction bilingual,detailed,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+3846,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-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: 3846-622302.",insurance grounded-qa fine-tuning instruction bilingual,stylized,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+3847,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: data scientist; Task: quality-check; Format: long-context; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3847-111852.",insurance grounded-qa fine-tuning instruction bilingual,minimal,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+3848,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3848-448681.",insurance grounded-qa fine-tuning instruction bilingual,detailed,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+3849,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; 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: 3849-901946.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+3850,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; 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: 3850-735108.",insurance grounded-qa fine-tuning instruction bilingual,stylized,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+3851,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3851-241091.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+3852,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3852-649185.",insurance grounded-qa fine-tuning instruction bilingual,stylized,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+3853,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; 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: 3853-117686.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+3854,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; 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: 3854-830895.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+3855,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: data scientist; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3855-620480.",insurance grounded-qa fine-tuning instruction bilingual,detailed,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+3856,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3856-731150.",insurance grounded-qa fine-tuning instruction bilingual,stylized,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+3857,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3857-381359.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+3858,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3858-106396.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+3859,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3859-720495.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+3860,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3860-253954.",insurance grounded-qa fine-tuning instruction bilingual,stylized,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+3861,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3861-606174.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+3862,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3862-120855.",insurance grounded-qa fine-tuning instruction bilingual,minimal,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+3863,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3863-128430.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+3864,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3864-944166.",insurance grounded-qa fine-tuning instruction bilingual,detailed,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+3865,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3865-744942.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+3866,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3866-717904.",insurance grounded-qa fine-tuning instruction bilingual,clean,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+3867,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: BILINGUAL; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3867-194875.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+3868,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3868-789490.",insurance grounded-qa fine-tuning instruction bilingual,minimal,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+3869,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3869-542118.",insurance grounded-qa fine-tuning instruction bilingual,stylized,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+3870,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3870-936383.",insurance grounded-qa fine-tuning instruction bilingual,detailed,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+3871,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3871-904774.",insurance grounded-qa fine-tuning instruction bilingual,stylized,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+3872,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3872-544622.",insurance grounded-qa fine-tuning instruction bilingual,stylized,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+3873,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-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: 3873-566210.",insurance grounded-qa fine-tuning instruction bilingual,minimal,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+3874,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3874-763659.",insurance grounded-qa fine-tuning instruction bilingual,minimal,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+3875,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3875-161023.",insurance grounded-qa fine-tuning instruction bilingual,clean,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+3876,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-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: 3876-317274.",insurance grounded-qa fine-tuning instruction bilingual,minimal,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+3877,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3877-869411.",insurance grounded-qa fine-tuning instruction bilingual,minimal,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+3878,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: data scientist; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3878-270283.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+3879,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3879-261107.",insurance grounded-qa fine-tuning instruction bilingual,minimal,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+3880,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: BILINGUAL; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3880-513560.",insurance grounded-qa fine-tuning instruction bilingual,minimal,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+3881,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3881-515923.",insurance grounded-qa fine-tuning instruction bilingual,stylized,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+3882,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3882-862783.",insurance grounded-qa fine-tuning instruction bilingual,detailed,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+3883,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3883-547041.",insurance grounded-qa fine-tuning instruction bilingual,stylized,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+3884,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3884-415421.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+3885,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: BILINGUAL; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3885-651953.",insurance grounded-qa fine-tuning instruction bilingual,clean,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+3886,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; 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: 3886-304475.",insurance grounded-qa fine-tuning instruction bilingual,minimal,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+3887,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3887-956114.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+3888,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3888-426475.",insurance grounded-qa fine-tuning instruction bilingual,detailed,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+3889,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3889-852452.",insurance grounded-qa fine-tuning instruction bilingual,detailed,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+3890,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-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: 3890-430393.",insurance grounded-qa fine-tuning instruction bilingual,clean,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+3891,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3891-794436.",insurance grounded-qa fine-tuning instruction bilingual,detailed,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+3892,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3892-909897.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+3893,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3893-823214.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+3894,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3894-578644.",insurance grounded-qa fine-tuning instruction bilingual,minimal,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+3895,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3895-881578.",insurance grounded-qa fine-tuning instruction bilingual,detailed,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+3896,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3896-645819.",insurance grounded-qa fine-tuning instruction bilingual,detailed,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+3897,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3897-451843.",insurance grounded-qa fine-tuning instruction bilingual,minimal,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+3898,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3898-800249.",insurance grounded-qa fine-tuning instruction bilingual,minimal,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+3899,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: data scientist; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3899-321655.",insurance grounded-qa fine-tuning instruction bilingual,clean,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+3900,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3900-836515.",insurance grounded-qa fine-tuning instruction bilingual,stylized,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+3901,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3901-525733.",insurance grounded-qa fine-tuning instruction bilingual,stylized,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+3902,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3902-301960.",insurance grounded-qa fine-tuning instruction bilingual,detailed,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+3903,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3903-875053.",insurance grounded-qa fine-tuning instruction bilingual,clean,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+3904,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3904-683983.",insurance grounded-qa fine-tuning instruction bilingual,minimal,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+3905,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; 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: 3905-258252.",insurance grounded-qa fine-tuning instruction bilingual,minimal,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+3906,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; 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: 3906-818229.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+3907,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3907-499862.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+3908,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: platform engineer; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3908-215602.",insurance grounded-qa fine-tuning instruction bilingual,detailed,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+3909,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: BILINGUAL; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3909-871208.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+3910,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-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: 3910-769789.",insurance grounded-qa fine-tuning instruction bilingual,stylized,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+3911,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-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: 3911-127468.",insurance grounded-qa fine-tuning instruction bilingual,detailed,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+3912,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3912-328235.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+3913,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: data scientist; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3913-331511.",insurance grounded-qa fine-tuning instruction bilingual,stylized,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+3914,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3914-222388.",insurance grounded-qa fine-tuning instruction bilingual,stylized,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+3915,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3915-773594.",insurance grounded-qa fine-tuning instruction bilingual,stylized,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+3916,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: platform engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3916-189086.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+3917,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3917-431148.",insurance grounded-qa fine-tuning instruction bilingual,stylized,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+3918,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3918-978466.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+3919,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3919-258410.",insurance grounded-qa fine-tuning instruction bilingual,clean,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+3920,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3920-457783.",insurance grounded-qa fine-tuning instruction bilingual,clean,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+3921,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3921-279261.",insurance grounded-qa fine-tuning instruction bilingual,stylized,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+3922,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3922-347922.",insurance grounded-qa fine-tuning instruction bilingual,clean,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+3923,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3923-293785.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+3924,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3924-310370.",insurance grounded-qa fine-tuning instruction bilingual,stylized,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+3925,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3925-680136.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+3926,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; 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: 3926-478246.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+3927,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-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: 3927-502014.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+3928,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; 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: 3928-716791.",insurance grounded-qa fine-tuning instruction bilingual,detailed,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+3929,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3929-800856.",insurance grounded-qa fine-tuning instruction bilingual,clean,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+3930,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; 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: 3930-860689.",insurance grounded-qa fine-tuning instruction bilingual,minimal,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+3931,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: data scientist; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3931-965797.",insurance grounded-qa fine-tuning instruction bilingual,stylized,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+3932,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3932-295630.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+3933,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3933-807570.",insurance grounded-qa fine-tuning instruction bilingual,minimal,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+3934,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3934-993417.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+3935,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; 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: 3935-328982.",insurance grounded-qa fine-tuning instruction bilingual,minimal,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+3936,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3936-659099.",insurance grounded-qa fine-tuning instruction bilingual,minimal,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+3937,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3937-570856.",insurance grounded-qa fine-tuning instruction bilingual,detailed,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+3938,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ai researcher; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3938-954231.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+3939,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3939-692819.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+3940,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: BILINGUAL; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3940-352289.",insurance grounded-qa fine-tuning instruction bilingual,clean,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+3941,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ml engineer; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3941-816848.",insurance grounded-qa fine-tuning instruction bilingual,detailed,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+3942,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3942-872091.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+3943,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3943-272322.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+3944,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ai researcher; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3944-698871.",insurance grounded-qa fine-tuning instruction bilingual,minimal,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+3945,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: platform engineer; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3945-631155.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+3946,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3946-740883.",insurance grounded-qa fine-tuning instruction bilingual,minimal,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+3947,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3947-396985.",insurance grounded-qa fine-tuning instruction bilingual,minimal,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+3948,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3948-786244.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+3949,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3949-145911.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+3950,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-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: 3950-114599.",insurance grounded-qa fine-tuning instruction bilingual,minimal,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+3951,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3951-901408.",insurance grounded-qa fine-tuning instruction bilingual,stylized,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+3952,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3952-874540.",insurance grounded-qa fine-tuning instruction bilingual,stylized,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+3953,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; 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: 3953-707721.",insurance grounded-qa fine-tuning instruction bilingual,stylized,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+3954,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3954-878447.",insurance grounded-qa fine-tuning instruction bilingual,minimal,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+3955,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ai researcher; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3955-656686.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+3956,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3956-936566.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+3957,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3957-858400.",insurance grounded-qa fine-tuning instruction bilingual,detailed,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+3958,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3958-341029.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+3959,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3959-973902.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+3960,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3960-323009.",insurance grounded-qa fine-tuning instruction bilingual,stylized,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+3961,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3961-382976.",insurance grounded-qa fine-tuning instruction bilingual,clean,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+3962,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3962-730023.",insurance grounded-qa fine-tuning instruction bilingual,minimal,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+3963,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3963-779896.",insurance grounded-qa fine-tuning instruction bilingual,stylized,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+3964,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: data scientist; Task: quality-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3964-353249.",insurance grounded-qa fine-tuning instruction bilingual,clean,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+3965,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: platform engineer; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3965-215015.",insurance grounded-qa fine-tuning instruction bilingual,detailed,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+3966,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3966-861779.",insurance grounded-qa fine-tuning instruction bilingual,minimal,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+3967,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3967-428517.",insurance grounded-qa fine-tuning instruction bilingual,clean,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+3968,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3968-900681.",insurance grounded-qa fine-tuning instruction bilingual,clean,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+3969,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: platform engineer; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3969-226472.",insurance grounded-qa fine-tuning instruction bilingual,stylized,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+3970,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; 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: 3970-751586.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+3971,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3971-657079.",insurance grounded-qa fine-tuning instruction bilingual,clean,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+3972,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3972-799459.",insurance grounded-qa fine-tuning instruction bilingual,minimal,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+3973,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3973-727057.",insurance grounded-qa fine-tuning instruction bilingual,clean,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+3974,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3974-274566.",insurance grounded-qa fine-tuning instruction bilingual,minimal,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+3975,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3975-869260.",insurance grounded-qa fine-tuning instruction bilingual,stylized,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+3976,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3976-521755.",insurance grounded-qa fine-tuning instruction bilingual,stylized,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+3977,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3977-729278.",insurance grounded-qa fine-tuning instruction bilingual,stylized,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+3978,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3978-808112.",insurance grounded-qa fine-tuning instruction bilingual,clean,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+3979,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3979-532596.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+3980,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: data scientist; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3980-264030.",insurance grounded-qa fine-tuning instruction bilingual,detailed,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+3981,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3981-394448.",insurance grounded-qa fine-tuning instruction bilingual,detailed,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+3982,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3982-363353.",insurance grounded-qa fine-tuning instruction bilingual,detailed,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+3983,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3983-839935.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+3984,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ai researcher; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3984-328772.",insurance grounded-qa fine-tuning instruction bilingual,stylized,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+3985,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3985-381311.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+3986,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3986-947211.",insurance grounded-qa fine-tuning instruction bilingual,stylized,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+3987,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3987-115020.",insurance grounded-qa fine-tuning instruction bilingual,clean,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+3988,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3988-845723.",insurance grounded-qa fine-tuning instruction bilingual,minimal,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+3989,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3989-483929.",insurance grounded-qa fine-tuning instruction bilingual,clean,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+3990,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3990-625703.",insurance grounded-qa fine-tuning instruction bilingual,clean,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+3991,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; 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: 3991-151288.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+3992,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3992-304802.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+3993,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3993-651502.",insurance grounded-qa fine-tuning instruction bilingual,clean,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+3994,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3994-617712.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+3995,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; 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: 3995-780688.",insurance grounded-qa fine-tuning instruction bilingual,minimal,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+3996,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-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: 3996-965556.",insurance grounded-qa fine-tuning instruction bilingual,detailed,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+3997,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3997-506626.",insurance grounded-qa fine-tuning instruction bilingual,detailed,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+3998,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3998-314289.",insurance grounded-qa fine-tuning instruction bilingual,minimal,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+3999,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3999-165675.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+4000,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: data scientist; Task: quality-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4000-132475.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+4001,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-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: 4001-841522.",insurance grounded-qa fine-tuning instruction bilingual,stylized,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+4002,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ml engineer; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4002-190903.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+4003,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: BILINGUAL; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4003-127859.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+4004,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4004-138801.",insurance grounded-qa fine-tuning instruction bilingual,clean,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+4005,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4005-482590.",insurance grounded-qa fine-tuning instruction bilingual,detailed,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+4006,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; 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: 4006-891100.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+4007,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: data scientist; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4007-820185.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+4008,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4008-158663.",insurance grounded-qa fine-tuning instruction bilingual,clean,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+4009,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4009-448133.",insurance grounded-qa fine-tuning instruction bilingual,stylized,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+4010,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-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: 4010-240747.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+4011,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4011-349732.",insurance grounded-qa fine-tuning instruction bilingual,stylized,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+4012,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: BILINGUAL; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4012-285452.",insurance grounded-qa fine-tuning instruction bilingual,clean,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+4013,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; 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: 4013-745433.",insurance grounded-qa fine-tuning instruction bilingual,minimal,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+4014,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4014-240991.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+4015,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; 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: 4015-858639.",insurance grounded-qa fine-tuning instruction bilingual,minimal,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+4016,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4016-568140.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+4017,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4017-781469.",insurance grounded-qa fine-tuning instruction bilingual,stylized,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+4018,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4018-141105.",insurance grounded-qa fine-tuning instruction bilingual,detailed,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+4019,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: platform engineer; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4019-603517.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+4020,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; 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: 4020-790075.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+4021,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4021-657826.",insurance grounded-qa fine-tuning instruction bilingual,stylized,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+4022,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ai researcher; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4022-216735.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+4023,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; 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: 4023-166675.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+4024,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; 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: 4024-924555.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+4025,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4025-146940.",insurance grounded-qa fine-tuning instruction bilingual,stylized,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+4026,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; 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: 4026-491094.",insurance grounded-qa fine-tuning instruction bilingual,minimal,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+4027,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4027-574029.",insurance grounded-qa fine-tuning instruction bilingual,minimal,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+4028,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: platform engineer; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4028-146250.",insurance grounded-qa fine-tuning instruction bilingual,clean,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+4029,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; 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: 4029-500958.",insurance grounded-qa fine-tuning instruction bilingual,stylized,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+4030,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4030-263826.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+4031,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-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: 4031-357119.",insurance grounded-qa fine-tuning instruction bilingual,detailed,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+4032,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4032-574538.",insurance grounded-qa fine-tuning instruction bilingual,clean,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+4033,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-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: 4033-239228.",insurance grounded-qa fine-tuning instruction bilingual,detailed,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+4034,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4034-110151.",insurance grounded-qa fine-tuning instruction bilingual,minimal,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+4035,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4035-831418.",insurance grounded-qa fine-tuning instruction bilingual,stylized,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+4036,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4036-917106.",insurance grounded-qa fine-tuning instruction bilingual,minimal,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+4037,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4037-490271.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+4038,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4038-142178.",insurance grounded-qa fine-tuning instruction bilingual,detailed,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+4039,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4039-745781.",insurance grounded-qa fine-tuning instruction bilingual,clean,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+4040,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ai researcher; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4040-145384.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+4041,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4041-779962.",insurance grounded-qa fine-tuning instruction bilingual,detailed,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+4042,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4042-242659.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+4043,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4043-808450.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+4044,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ml engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4044-611263.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+4045,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-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: 4045-444522.",insurance grounded-qa fine-tuning instruction bilingual,minimal,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+4046,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4046-710916.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+4047,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4047-734750.",insurance grounded-qa fine-tuning instruction bilingual,stylized,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+4048,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4048-849111.",insurance grounded-qa fine-tuning instruction bilingual,detailed,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+4049,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4049-674746.",insurance grounded-qa fine-tuning instruction bilingual,stylized,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+4050,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4050-291518.",insurance grounded-qa fine-tuning instruction bilingual,clean,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+4051,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4051-175000.",insurance grounded-qa fine-tuning instruction bilingual,clean,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+4052,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4052-654367.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+4053,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-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: 4053-527227.",insurance grounded-qa fine-tuning instruction bilingual,minimal,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+4054,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4054-678123.",insurance grounded-qa fine-tuning instruction bilingual,minimal,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+4055,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-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: 4055-508751.",insurance grounded-qa fine-tuning instruction bilingual,clean,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+4056,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: data scientist; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4056-470601.",insurance grounded-qa fine-tuning instruction bilingual,minimal,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+4057,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4057-970427.",insurance grounded-qa fine-tuning instruction bilingual,detailed,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+4058,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: BILINGUAL; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4058-351271.",insurance grounded-qa fine-tuning instruction bilingual,detailed,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+4059,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4059-268354.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+4060,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: data scientist; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4060-832120.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+4061,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4061-286727.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+4062,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4062-130291.",insurance grounded-qa fine-tuning instruction bilingual,minimal,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+4063,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4063-525777.",insurance grounded-qa fine-tuning instruction bilingual,minimal,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+4064,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; 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: 4064-850062.",insurance grounded-qa fine-tuning instruction bilingual,detailed,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+4065,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4065-172914.",insurance grounded-qa fine-tuning instruction bilingual,stylized,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+4066,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4066-406455.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+4067,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4067-891783.",insurance grounded-qa fine-tuning instruction bilingual,clean,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+4068,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; 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: 4068-311784.",insurance grounded-qa fine-tuning instruction bilingual,minimal,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+4069,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4069-355768.",insurance grounded-qa fine-tuning instruction bilingual,minimal,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+4070,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4070-650434.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+4071,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4071-367845.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+4072,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4072-506137.",insurance grounded-qa fine-tuning instruction bilingual,minimal,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+4073,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: BILINGUAL; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4073-895805.",insurance grounded-qa fine-tuning instruction bilingual,stylized,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+4074,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: BILINGUAL; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4074-169601.",insurance grounded-qa fine-tuning instruction bilingual,detailed,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+4075,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4075-917560.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+4076,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; 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: 4076-405615.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+4077,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; 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: 4077-149338.",insurance grounded-qa fine-tuning instruction bilingual,clean,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+4078,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4078-440703.",insurance grounded-qa fine-tuning instruction bilingual,minimal,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+4079,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; 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: 4079-492335.",insurance grounded-qa fine-tuning instruction bilingual,stylized,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+4080,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; 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: 4080-845417.",insurance grounded-qa fine-tuning instruction bilingual,clean,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+4081,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; 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: 4081-732676.",insurance grounded-qa fine-tuning instruction bilingual,clean,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+4082,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4082-672148.",insurance grounded-qa fine-tuning instruction bilingual,clean,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+4083,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4083-175278.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+4084,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4084-304070.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+4085,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4085-786355.",insurance grounded-qa fine-tuning instruction bilingual,stylized,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+4086,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; 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: 4086-697668.",insurance grounded-qa fine-tuning instruction bilingual,clean,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+4087,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4087-667641.",insurance grounded-qa fine-tuning instruction bilingual,detailed,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+4088,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; 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: 4088-243670.",insurance grounded-qa fine-tuning instruction bilingual,stylized,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+4089,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ai researcher; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4089-907892.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+4090,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4090-493426.",insurance grounded-qa fine-tuning instruction bilingual,detailed,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+4091,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4091-911026.",insurance grounded-qa fine-tuning instruction bilingual,minimal,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+4092,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: BILINGUAL; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4092-654952.",insurance grounded-qa fine-tuning instruction bilingual,minimal,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+4093,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4093-671650.",insurance grounded-qa fine-tuning instruction bilingual,detailed,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+4094,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ai researcher; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4094-923579.",insurance grounded-qa fine-tuning instruction bilingual,stylized,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+4095,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4095-982643.",insurance grounded-qa fine-tuning instruction bilingual,clean,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+4096,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: data scientist; Task: quality-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4096-608299.",insurance grounded-qa fine-tuning instruction bilingual,detailed,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+4097,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4097-736410.",insurance grounded-qa fine-tuning instruction bilingual,clean,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+4098,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: BILINGUAL; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4098-784616.",insurance grounded-qa fine-tuning instruction bilingual,clean,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+4099,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4099-362074.",insurance grounded-qa fine-tuning instruction bilingual,stylized,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+4100,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; 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: 4100-362454.",insurance grounded-qa fine-tuning instruction bilingual,stylized,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+4101,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ai researcher; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4101-825316.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+4102,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4102-521714.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+4103,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-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: 4103-672982.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+4104,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4104-162014.",insurance grounded-qa fine-tuning instruction bilingual,stylized,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+4105,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4105-190148.",insurance grounded-qa fine-tuning instruction bilingual,clean,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+4106,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: data scientist; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4106-812493.",insurance grounded-qa fine-tuning instruction bilingual,clean,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+4107,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4107-546270.",insurance grounded-qa fine-tuning instruction bilingual,detailed,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+4108,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4108-362392.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+4109,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; 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: 4109-585764.",insurance grounded-qa fine-tuning instruction bilingual,detailed,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+4110,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4110-263037.",insurance grounded-qa fine-tuning instruction bilingual,stylized,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+4111,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4111-537291.",insurance grounded-qa fine-tuning instruction bilingual,minimal,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+4112,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4112-275934.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+4113,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4113-322006.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+4114,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4114-935720.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+4115,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: BILINGUAL; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4115-790796.",insurance grounded-qa fine-tuning instruction bilingual,clean,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+4116,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-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: 4116-583849.",insurance grounded-qa fine-tuning instruction bilingual,minimal,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+4117,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4117-945443.",insurance grounded-qa fine-tuning instruction bilingual,minimal,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+4118,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; 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: 4118-241324.",insurance grounded-qa fine-tuning instruction bilingual,detailed,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+4119,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4119-291577.",insurance grounded-qa fine-tuning instruction bilingual,detailed,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+4120,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4120-599457.",insurance grounded-qa fine-tuning instruction bilingual,clean,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+4121,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; 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: 4121-462462.",insurance grounded-qa fine-tuning instruction bilingual,stylized,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+4122,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: platform engineer; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4122-767513.",insurance grounded-qa fine-tuning instruction bilingual,stylized,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+4123,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4123-715567.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+4124,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4124-708481.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+4125,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4125-297058.",insurance grounded-qa fine-tuning instruction bilingual,stylized,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+4126,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4126-246184.",insurance grounded-qa fine-tuning instruction bilingual,detailed,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+4127,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4127-386286.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+4128,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-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: 4128-914979.",insurance grounded-qa fine-tuning instruction bilingual,minimal,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+4129,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; 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: 4129-368975.",insurance grounded-qa fine-tuning instruction bilingual,stylized,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+4130,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4130-283893.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+4131,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: platform engineer; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4131-926971.",insurance grounded-qa fine-tuning instruction bilingual,minimal,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+4132,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4132-587392.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+4133,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4133-383478.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+4134,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4134-456882.",insurance grounded-qa fine-tuning instruction bilingual,detailed,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+4135,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: data scientist; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4135-472817.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+4136,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4136-105803.",insurance grounded-qa fine-tuning instruction bilingual,minimal,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+4137,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: platform engineer; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4137-231440.",insurance grounded-qa fine-tuning instruction bilingual,minimal,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+4138,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4138-712721.",insurance grounded-qa fine-tuning instruction bilingual,detailed,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+4139,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: data scientist; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4139-965924.",insurance grounded-qa fine-tuning instruction bilingual,stylized,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+4140,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; 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: 4140-136397.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+4141,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4141-266669.",insurance grounded-qa fine-tuning instruction bilingual,detailed,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+4142,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4142-961598.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+4143,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4143-584036.",insurance grounded-qa fine-tuning instruction bilingual,clean,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+4144,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4144-913778.",insurance grounded-qa fine-tuning instruction bilingual,detailed,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+4145,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: platform engineer; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4145-728331.",insurance grounded-qa fine-tuning instruction bilingual,stylized,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+4146,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: BILINGUAL; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4146-342424.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+4147,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4147-251983.",insurance grounded-qa fine-tuning instruction bilingual,stylized,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+4148,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4148-822709.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+4149,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: BILINGUAL; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4149-342721.",insurance grounded-qa fine-tuning instruction bilingual,clean,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+4150,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4150-673511.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+4151,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4151-450831.",insurance grounded-qa fine-tuning instruction bilingual,minimal,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+4152,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: data scientist; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4152-165973.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+4153,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4153-386737.",insurance grounded-qa fine-tuning instruction bilingual,clean,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+4154,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4154-637619.",insurance grounded-qa fine-tuning instruction bilingual,detailed,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+4155,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4155-299722.",insurance grounded-qa fine-tuning instruction bilingual,stylized,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+4156,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4156-709503.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+4157,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4157-595003.",insurance grounded-qa fine-tuning instruction bilingual,minimal,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+4158,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: BILINGUAL; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4158-557382.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+4159,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4159-815948.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+4160,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ml engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4160-355092.",insurance grounded-qa fine-tuning instruction bilingual,stylized,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+4161,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4161-969312.",insurance grounded-qa fine-tuning instruction bilingual,minimal,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+4162,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: data scientist; Task: grounding-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4162-936850.",insurance grounded-qa fine-tuning instruction bilingual,stylized,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+4163,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4163-939489.",insurance grounded-qa fine-tuning instruction bilingual,stylized,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+4164,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4164-495031.",insurance grounded-qa fine-tuning instruction bilingual,detailed,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+4165,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: data scientist; Task: quality-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4165-720631.",insurance grounded-qa fine-tuning instruction bilingual,minimal,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+4166,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4166-508235.",insurance grounded-qa fine-tuning instruction bilingual,stylized,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+4167,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4167-220101.",insurance grounded-qa fine-tuning instruction bilingual,clean,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+4168,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ml engineer; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4168-862622.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+4169,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4169-695671.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+4170,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ml engineer; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4170-472390.",insurance grounded-qa fine-tuning instruction bilingual,stylized,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+4171,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4171-581144.",insurance grounded-qa fine-tuning instruction bilingual,minimal,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+4172,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4172-611596.",insurance grounded-qa fine-tuning instruction bilingual,clean,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+4173,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4173-369969.",insurance grounded-qa fine-tuning instruction bilingual,detailed,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+4174,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ai researcher; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4174-255244.",insurance grounded-qa fine-tuning instruction bilingual,stylized,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+4175,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4175-635208.",insurance grounded-qa fine-tuning instruction bilingual,stylized,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+4176,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4176-146615.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+4177,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: BILINGUAL; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4177-467024.",insurance grounded-qa fine-tuning instruction bilingual,clean,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+4178,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4178-495999.",insurance grounded-qa fine-tuning instruction bilingual,stylized,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+4179,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; 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: 4179-139072.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+4180,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4180-393066.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+4181,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4181-122865.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+4182,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4182-914595.",insurance grounded-qa fine-tuning instruction bilingual,detailed,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+4183,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ai researcher; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4183-950302.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+4184,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4184-160743.",insurance grounded-qa fine-tuning instruction bilingual,stylized,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+4185,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4185-816241.",insurance grounded-qa fine-tuning instruction bilingual,detailed,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+4186,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4186-962749.",insurance grounded-qa fine-tuning instruction bilingual,detailed,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+4187,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4187-735684.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+4188,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4188-595903.",insurance grounded-qa fine-tuning instruction bilingual,detailed,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+4189,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4189-795935.",insurance grounded-qa fine-tuning instruction bilingual,clean,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+4190,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: data scientist; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4190-473466.",insurance grounded-qa fine-tuning instruction bilingual,clean,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+4191,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4191-842818.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+4192,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4192-797416.",insurance grounded-qa fine-tuning instruction bilingual,minimal,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+4193,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; 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: 4193-316903.",insurance grounded-qa fine-tuning instruction bilingual,minimal,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+4194,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4194-942276.",insurance grounded-qa fine-tuning instruction bilingual,minimal,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+4195,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: BILINGUAL; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4195-415529.",insurance grounded-qa fine-tuning instruction bilingual,clean,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+4196,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4196-282323.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+4197,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: data scientist; Task: quality-check; Format: long-context; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4197-150202.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+4198,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4198-337768.",insurance grounded-qa fine-tuning instruction bilingual,clean,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+4199,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4199-594416.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+4200,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: data scientist; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4200-181231.",insurance grounded-qa fine-tuning instruction bilingual,minimal,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+4201,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4201-930340.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+4202,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4202-686658.",insurance grounded-qa fine-tuning instruction bilingual,detailed,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+4203,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4203-128892.",insurance grounded-qa fine-tuning instruction bilingual,stylized,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+4204,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4204-234954.",insurance grounded-qa fine-tuning instruction bilingual,clean,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+4205,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4205-428798.",insurance grounded-qa fine-tuning instruction bilingual,minimal,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+4206,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-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: 4206-139430.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+4207,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; 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: 4207-620847.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+4208,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4208-611505.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+4209,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4209-973505.",insurance grounded-qa fine-tuning instruction bilingual,clean,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+4210,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4210-266295.",insurance grounded-qa fine-tuning instruction bilingual,clean,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+4211,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-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: 4211-570333.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+4212,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-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: 4212-459793.",insurance grounded-qa fine-tuning instruction bilingual,minimal,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+4213,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; 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: 4213-475381.",insurance grounded-qa fine-tuning instruction bilingual,minimal,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+4214,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4214-177431.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+4215,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; 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: 4215-887580.",insurance grounded-qa fine-tuning instruction bilingual,stylized,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+4216,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: data scientist; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4216-181532.",insurance grounded-qa fine-tuning instruction bilingual,clean,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+4217,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-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: 4217-213223.",insurance grounded-qa fine-tuning instruction bilingual,clean,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+4218,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4218-483113.",insurance grounded-qa fine-tuning instruction bilingual,minimal,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+4219,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4219-414422.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+4220,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ai researcher; Task: quality-check; Format: long-context; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4220-175557.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+4221,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4221-586984.",insurance grounded-qa fine-tuning instruction bilingual,stylized,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+4222,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4222-195663.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+4223,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4223-300947.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+4224,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; 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: 4224-524355.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+4225,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4225-689129.",insurance grounded-qa fine-tuning instruction bilingual,detailed,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+4226,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4226-942741.",insurance grounded-qa fine-tuning instruction bilingual,detailed,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+4227,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; 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: 4227-479887.",insurance grounded-qa fine-tuning instruction bilingual,detailed,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+4228,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4228-900706.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+4229,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4229-341267.",insurance grounded-qa fine-tuning instruction bilingual,minimal,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+4230,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4230-707708.",insurance grounded-qa fine-tuning instruction bilingual,detailed,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+4231,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; 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: 4231-744491.",insurance grounded-qa fine-tuning instruction bilingual,stylized,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+4232,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: BILINGUAL; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4232-855168.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+4233,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4233-249300.",insurance grounded-qa fine-tuning instruction bilingual,stylized,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+4234,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; 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: 4234-840607.",insurance grounded-qa fine-tuning instruction bilingual,detailed,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+4235,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: data scientist; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4235-960549.",insurance grounded-qa fine-tuning instruction bilingual,stylized,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+4236,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4236-788573.",insurance grounded-qa fine-tuning instruction bilingual,clean,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+4237,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4237-967351.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+4238,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4238-973335.",insurance grounded-qa fine-tuning instruction bilingual,minimal,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+4239,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4239-142559.",insurance grounded-qa fine-tuning instruction bilingual,detailed,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+4240,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4240-329898.",insurance grounded-qa fine-tuning instruction bilingual,stylized,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+4241,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4241-774618.",insurance grounded-qa fine-tuning instruction bilingual,minimal,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+4242,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4242-551803.",insurance grounded-qa fine-tuning instruction bilingual,minimal,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+4243,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: BILINGUAL; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4243-180442.",insurance grounded-qa fine-tuning instruction bilingual,detailed,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+4244,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4244-792177.",insurance grounded-qa fine-tuning instruction bilingual,stylized,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+4245,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4245-683904.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+4246,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4246-425536.",insurance grounded-qa fine-tuning instruction bilingual,stylized,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+4247,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4247-286899.",insurance grounded-qa fine-tuning instruction bilingual,clean,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+4248,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; 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: 4248-508537.",insurance grounded-qa fine-tuning instruction bilingual,stylized,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+4249,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4249-422186.",insurance grounded-qa fine-tuning instruction bilingual,stylized,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+4250,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4250-785189.",insurance grounded-qa fine-tuning instruction bilingual,minimal,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+4251,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: BILINGUAL; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4251-590677.",insurance grounded-qa fine-tuning instruction bilingual,stylized,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+4252,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: data scientist; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4252-794988.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+4253,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4253-949851.",insurance grounded-qa fine-tuning instruction bilingual,detailed,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+4254,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4254-580287.",insurance grounded-qa fine-tuning instruction bilingual,detailed,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+4255,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4255-712793.",insurance grounded-qa fine-tuning instruction bilingual,detailed,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+4256,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: platform engineer; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4256-753845.",insurance grounded-qa fine-tuning instruction bilingual,detailed,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+4257,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4257-864067.",insurance grounded-qa fine-tuning instruction bilingual,clean,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+4258,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4258-220237.",insurance grounded-qa fine-tuning instruction bilingual,detailed,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+4259,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4259-966143.",insurance grounded-qa fine-tuning instruction bilingual,stylized,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+4260,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4260-753304.",insurance grounded-qa fine-tuning instruction bilingual,minimal,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+4261,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ml engineer; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4261-904974.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+4262,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4262-940783.",insurance grounded-qa fine-tuning instruction bilingual,minimal,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+4263,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4263-696050.",insurance grounded-qa fine-tuning instruction bilingual,minimal,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+4264,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; 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: 4264-877039.",insurance grounded-qa fine-tuning instruction bilingual,stylized,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+4265,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4265-134361.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+4266,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4266-427617.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+4267,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: platform engineer; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4267-202630.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+4268,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4268-161180.",insurance grounded-qa fine-tuning instruction bilingual,detailed,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+4269,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4269-627973.",insurance grounded-qa fine-tuning instruction bilingual,clean,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+4270,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; 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: 4270-736103.",insurance grounded-qa fine-tuning instruction bilingual,clean,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+4271,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: data scientist; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4271-991946.",insurance grounded-qa fine-tuning instruction bilingual,detailed,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+4272,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4272-672788.",insurance grounded-qa fine-tuning instruction bilingual,minimal,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+4273,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4273-362163.",insurance grounded-qa fine-tuning instruction bilingual,detailed,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+4274,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4274-736232.",insurance grounded-qa fine-tuning instruction bilingual,stylized,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+4275,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; 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: 4275-599339.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+4276,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4276-923995.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+4277,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4277-611385.",insurance grounded-qa fine-tuning instruction bilingual,minimal,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+4278,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4278-948343.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+4279,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; 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: 4279-710124.",insurance grounded-qa fine-tuning instruction bilingual,clean,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+4280,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4280-682597.",insurance grounded-qa fine-tuning instruction bilingual,clean,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+4281,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4281-700329.",insurance grounded-qa fine-tuning instruction bilingual,detailed,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+4282,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4282-798921.",insurance grounded-qa fine-tuning instruction bilingual,clean,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+4283,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: data scientist; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4283-487943.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+4284,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: data scientist; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4284-935297.",insurance grounded-qa fine-tuning instruction bilingual,detailed,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+4285,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: data scientist; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4285-849836.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+4286,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-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: 4286-807164.",insurance grounded-qa fine-tuning instruction bilingual,detailed,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+4287,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4287-337173.",insurance grounded-qa fine-tuning instruction bilingual,minimal,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+4288,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4288-907773.",insurance grounded-qa fine-tuning instruction bilingual,clean,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+4289,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; 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: 4289-352881.",insurance grounded-qa fine-tuning instruction bilingual,clean,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+4290,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4290-657951.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+4291,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; 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: 4291-360476.",insurance grounded-qa fine-tuning instruction bilingual,clean,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+4292,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4292-752522.",insurance grounded-qa fine-tuning instruction bilingual,minimal,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+4293,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4293-391829.",insurance grounded-qa fine-tuning instruction bilingual,clean,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+4294,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4294-525866.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+4295,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ai researcher; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4295-654483.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+4296,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; 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: 4296-911183.",insurance grounded-qa fine-tuning instruction bilingual,clean,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+4297,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: BILINGUAL; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4297-875364.",insurance grounded-qa fine-tuning instruction bilingual,detailed,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+4298,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4298-622319.",insurance grounded-qa fine-tuning instruction bilingual,minimal,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+4299,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; 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: 4299-483729.",insurance grounded-qa fine-tuning instruction bilingual,clean,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+4300,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4300-947152.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+4301,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4301-389840.",insurance grounded-qa fine-tuning instruction bilingual,clean,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+4302,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4302-983325.",insurance grounded-qa fine-tuning instruction bilingual,clean,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+4303,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4303-286657.",insurance grounded-qa fine-tuning instruction bilingual,stylized,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+4304,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: data scientist; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4304-947281.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+4305,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; 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: 4305-341756.",insurance grounded-qa fine-tuning instruction bilingual,stylized,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+4306,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4306-647475.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+4307,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; 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: 4307-826857.",insurance grounded-qa fine-tuning instruction bilingual,minimal,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+4308,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4308-307579.",insurance grounded-qa fine-tuning instruction bilingual,stylized,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+4309,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; 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: 4309-730532.",insurance grounded-qa fine-tuning instruction bilingual,minimal,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+4310,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; 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: 4310-849620.",insurance grounded-qa fine-tuning instruction bilingual,stylized,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+4311,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4311-438346.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+4312,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-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: 4312-857317.",insurance grounded-qa fine-tuning instruction bilingual,minimal,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+4313,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: platform engineer; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4313-768409.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+4314,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4314-658030.",insurance grounded-qa fine-tuning instruction bilingual,clean,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+4315,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4315-688468.",insurance grounded-qa fine-tuning instruction bilingual,stylized,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+4316,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4316-561215.",insurance grounded-qa fine-tuning instruction bilingual,clean,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+4317,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: data scientist; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4317-282197.",insurance grounded-qa fine-tuning instruction bilingual,clean,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+4318,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4318-594913.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+4319,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4319-715235.",insurance grounded-qa fine-tuning instruction bilingual,stylized,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+4320,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-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: 4320-120434.",insurance grounded-qa fine-tuning instruction bilingual,clean,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+4321,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4321-902687.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+4322,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4322-893861.",insurance grounded-qa fine-tuning instruction bilingual,clean,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+4323,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4323-784798.",insurance grounded-qa fine-tuning instruction bilingual,detailed,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+4324,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: data scientist; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4324-211641.",insurance grounded-qa fine-tuning instruction bilingual,stylized,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+4325,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4325-104485.",insurance grounded-qa fine-tuning instruction bilingual,stylized,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+4326,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4326-508396.",insurance grounded-qa fine-tuning instruction bilingual,minimal,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+4327,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4327-292394.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+4328,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4328-650969.",insurance grounded-qa fine-tuning instruction bilingual,detailed,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+4329,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; 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: 4329-189720.",insurance grounded-qa fine-tuning instruction bilingual,stylized,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+4330,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-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: 4330-558110.",insurance grounded-qa fine-tuning instruction bilingual,clean,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+4331,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4331-865073.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+4332,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4332-435275.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+4333,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: data scientist; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4333-702334.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+4334,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-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: 4334-204148.",insurance grounded-qa fine-tuning instruction bilingual,clean,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+4335,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: data scientist; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4335-706177.",insurance grounded-qa fine-tuning instruction bilingual,clean,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+4336,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4336-986702.",insurance grounded-qa fine-tuning instruction bilingual,clean,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+4337,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: BILINGUAL; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4337-726828.",insurance grounded-qa fine-tuning instruction bilingual,stylized,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+4338,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4338-164024.",insurance grounded-qa fine-tuning instruction bilingual,detailed,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+4339,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4339-806496.",insurance grounded-qa fine-tuning instruction bilingual,clean,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+4340,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4340-309303.",insurance grounded-qa fine-tuning instruction bilingual,stylized,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+4341,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4341-704957.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+4342,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4342-895713.",insurance grounded-qa fine-tuning instruction bilingual,stylized,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+4343,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ml engineer; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4343-557896.",insurance grounded-qa fine-tuning instruction bilingual,stylized,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+4344,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-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: 4344-416166.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+4345,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: data scientist; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4345-559989.",insurance grounded-qa fine-tuning instruction bilingual,clean,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+4346,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4346-425720.",insurance grounded-qa fine-tuning instruction bilingual,stylized,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+4347,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4347-659572.",insurance grounded-qa fine-tuning instruction bilingual,detailed,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+4348,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4348-686336.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+4349,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4349-630711.",insurance grounded-qa fine-tuning instruction bilingual,clean,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+4350,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4350-830337.",insurance grounded-qa fine-tuning instruction bilingual,stylized,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+4351,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4351-716552.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+4352,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4352-738074.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+4353,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4353-127181.",insurance grounded-qa fine-tuning instruction bilingual,stylized,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+4354,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4354-591852.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+4355,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4355-341882.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+4356,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4356-782500.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+4357,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4357-205246.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+4358,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4358-392136.",insurance grounded-qa fine-tuning instruction bilingual,detailed,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+4359,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4359-421946.",insurance grounded-qa fine-tuning instruction bilingual,stylized,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+4360,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: BILINGUAL; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4360-776731.",insurance grounded-qa fine-tuning instruction bilingual,clean,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+4361,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4361-597973.",insurance grounded-qa fine-tuning instruction bilingual,minimal,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+4362,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; 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: 4362-556084.",insurance grounded-qa fine-tuning instruction bilingual,clean,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+4363,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4363-762163.",insurance grounded-qa fine-tuning instruction bilingual,minimal,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+4364,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-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: 4364-644104.",insurance grounded-qa fine-tuning instruction bilingual,detailed,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+4365,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: BILINGUAL; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4365-446814.",insurance grounded-qa fine-tuning instruction bilingual,stylized,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+4366,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-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: 4366-501417.",insurance grounded-qa fine-tuning instruction bilingual,stylized,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+4367,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-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: 4367-705660.",insurance grounded-qa fine-tuning instruction bilingual,minimal,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+4368,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-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: 4368-500432.",insurance grounded-qa fine-tuning instruction bilingual,detailed,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+4369,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ml engineer; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4369-807162.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+4370,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4370-760656.",insurance grounded-qa fine-tuning instruction bilingual,detailed,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+4371,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4371-926697.",insurance grounded-qa fine-tuning instruction bilingual,clean,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+4372,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4372-294437.",insurance grounded-qa fine-tuning instruction bilingual,clean,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+4373,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; 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: 4373-123087.",insurance grounded-qa fine-tuning instruction bilingual,clean,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+4374,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: data scientist; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4374-907094.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+4375,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4375-406816.",insurance grounded-qa fine-tuning instruction bilingual,clean,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+4376,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4376-339508.",insurance grounded-qa fine-tuning instruction bilingual,stylized,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+4377,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-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: 4377-831469.",insurance grounded-qa fine-tuning instruction bilingual,detailed,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+4378,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4378-181158.",insurance grounded-qa fine-tuning instruction bilingual,detailed,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+4379,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4379-941447.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+4380,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4380-848994.",insurance grounded-qa fine-tuning instruction bilingual,minimal,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+4381,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4381-842120.",insurance grounded-qa fine-tuning instruction bilingual,detailed,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+4382,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4382-845532.",insurance grounded-qa fine-tuning instruction bilingual,detailed,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+4383,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4383-767238.",insurance grounded-qa fine-tuning instruction bilingual,clean,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+4384,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: BILINGUAL; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4384-641550.",insurance grounded-qa fine-tuning instruction bilingual,detailed,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+4385,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; 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: 4385-614850.",insurance grounded-qa fine-tuning instruction bilingual,detailed,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+4386,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; 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: 4386-314498.",insurance grounded-qa fine-tuning instruction bilingual,detailed,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+4387,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4387-395995.",insurance grounded-qa fine-tuning instruction bilingual,minimal,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+4388,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4388-919518.",insurance grounded-qa fine-tuning instruction bilingual,clean,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+4389,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4389-393681.",insurance grounded-qa fine-tuning instruction bilingual,stylized,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+4390,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4390-224334.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+4391,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: data scientist; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4391-350832.",insurance grounded-qa fine-tuning instruction bilingual,clean,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+4392,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4392-420370.",insurance grounded-qa fine-tuning instruction bilingual,clean,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+4393,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4393-446911.",insurance grounded-qa fine-tuning instruction bilingual,stylized,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+4394,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: data scientist; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4394-790953.",insurance grounded-qa fine-tuning instruction bilingual,minimal,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+4395,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4395-610110.",insurance grounded-qa fine-tuning instruction bilingual,detailed,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+4396,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4396-890439.",insurance grounded-qa fine-tuning instruction bilingual,stylized,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+4397,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: data scientist; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4397-968388.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+4398,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: BILINGUAL; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4398-829986.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+4399,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4399-268520.",insurance grounded-qa fine-tuning instruction bilingual,stylized,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+4400,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4400-333600.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+4401,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: data scientist; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4401-952509.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+4402,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4402-660517.",insurance grounded-qa fine-tuning instruction bilingual,clean,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+4403,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4403-599518.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+4404,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4404-421585.",insurance grounded-qa fine-tuning instruction bilingual,clean,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+4405,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; 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: 4405-431980.",insurance grounded-qa fine-tuning instruction bilingual,detailed,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+4406,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4406-797001.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+4407,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4407-670842.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+4408,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4408-727651.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+4409,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4409-400460.",insurance grounded-qa fine-tuning instruction bilingual,stylized,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+4410,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4410-827023.",insurance grounded-qa fine-tuning instruction bilingual,clean,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+4411,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: data scientist; Task: benchmarking; Format: long-context; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4411-420063.",insurance grounded-qa fine-tuning instruction bilingual,stylized,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+4412,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: BILINGUAL; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4412-995327.",insurance grounded-qa fine-tuning instruction bilingual,detailed,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+4413,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4413-379862.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+4414,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4414-117371.",insurance grounded-qa fine-tuning instruction bilingual,stylized,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+4415,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4415-812269.",insurance grounded-qa fine-tuning instruction bilingual,detailed,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+4416,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4416-801228.",insurance grounded-qa fine-tuning instruction bilingual,clean,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+4417,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4417-841650.",insurance grounded-qa fine-tuning instruction bilingual,stylized,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+4418,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: platform engineer; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4418-410636.",insurance grounded-qa fine-tuning instruction bilingual,detailed,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+4419,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4419-364463.",insurance grounded-qa fine-tuning instruction bilingual,clean,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+4420,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4420-546473.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+4421,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4421-269331.",insurance grounded-qa fine-tuning instruction bilingual,clean,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+4422,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: data scientist; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4422-885178.",insurance grounded-qa fine-tuning instruction bilingual,stylized,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+4423,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4423-309641.",insurance grounded-qa fine-tuning instruction bilingual,detailed,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+4424,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4424-561519.",insurance grounded-qa fine-tuning instruction bilingual,minimal,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+4425,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4425-421688.",insurance grounded-qa fine-tuning instruction bilingual,minimal,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+4426,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4426-528808.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+4427,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4427-334502.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+4428,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4428-566875.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+4429,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4429-549337.",insurance grounded-qa fine-tuning instruction bilingual,clean,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+4430,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4430-297860.",insurance grounded-qa fine-tuning instruction bilingual,minimal,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+4431,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: platform engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4431-531095.",insurance grounded-qa fine-tuning instruction bilingual,clean,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+4432,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: data scientist; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4432-725097.",insurance grounded-qa fine-tuning instruction bilingual,detailed,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+4433,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4433-565943.",insurance grounded-qa fine-tuning instruction bilingual,stylized,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+4434,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4434-386943.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+4435,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4435-768583.",insurance grounded-qa fine-tuning instruction bilingual,detailed,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+4436,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4436-923787.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+4437,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4437-342834.",insurance grounded-qa fine-tuning instruction bilingual,detailed,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+4438,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4438-493538.",insurance grounded-qa fine-tuning instruction bilingual,stylized,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+4439,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4439-929772.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+4440,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: data scientist; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4440-181253.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+4441,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; 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: 4441-773258.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+4442,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; 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: 4442-100311.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+4443,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; 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: 4443-962430.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+4444,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4444-486194.",insurance grounded-qa fine-tuning instruction bilingual,clean,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+4445,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: data scientist; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4445-768302.",insurance grounded-qa fine-tuning instruction bilingual,detailed,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+4446,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4446-343633.",insurance grounded-qa fine-tuning instruction bilingual,detailed,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+4447,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: platform engineer; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4447-818365.",insurance grounded-qa fine-tuning instruction bilingual,stylized,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+4448,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; 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: 4448-124497.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+4449,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: platform engineer; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4449-609490.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+4450,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4450-218873.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+4451,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4451-643776.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+4452,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4452-969008.",insurance grounded-qa fine-tuning instruction bilingual,clean,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+4453,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4453-307488.",insurance grounded-qa fine-tuning instruction bilingual,minimal,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+4454,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: data scientist; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4454-756649.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+4455,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: BILINGUAL; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4455-283198.",insurance grounded-qa fine-tuning instruction bilingual,detailed,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+4456,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4456-244092.",insurance grounded-qa fine-tuning instruction bilingual,stylized,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+4457,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4457-334542.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+4458,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4458-144560.",insurance grounded-qa fine-tuning instruction bilingual,clean,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+4459,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ai researcher; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4459-171614.",insurance grounded-qa fine-tuning instruction bilingual,clean,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+4460,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; 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: 4460-726662.",insurance grounded-qa fine-tuning instruction bilingual,stylized,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+4461,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; 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: 4461-451032.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+4462,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4462-219042.",insurance grounded-qa fine-tuning instruction bilingual,clean,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+4463,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4463-137540.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+4464,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4464-732405.",insurance grounded-qa fine-tuning instruction bilingual,minimal,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+4465,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4465-559676.",insurance grounded-qa fine-tuning instruction bilingual,clean,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+4466,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4466-290160.",insurance grounded-qa fine-tuning instruction bilingual,stylized,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+4467,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4467-148947.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+4468,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4468-909642.",insurance grounded-qa fine-tuning instruction bilingual,stylized,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+4469,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4469-743773.",insurance grounded-qa fine-tuning instruction bilingual,stylized,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+4470,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: data scientist; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4470-923936.",insurance grounded-qa fine-tuning instruction bilingual,clean,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+4471,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: data scientist; Task: quality-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4471-693347.",insurance grounded-qa fine-tuning instruction bilingual,minimal,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+4472,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4472-999999.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,premium,2026-02-23T04:11:45.696561Z,0.8000,repeated_chars
+4473,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4473-594919.",insurance grounded-qa fine-tuning instruction bilingual,clean,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+4474,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; 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: 4474-805824.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+4475,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4475-894613.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+4476,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: BILINGUAL; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4476-735473.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+4477,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4477-610813.",insurance grounded-qa fine-tuning instruction bilingual,detailed,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+4478,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4478-580084.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+4479,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4479-532069.",insurance grounded-qa fine-tuning instruction bilingual,clean,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+4480,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: BILINGUAL; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4480-675021.",insurance grounded-qa fine-tuning instruction bilingual,minimal,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+4481,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4481-207199.",insurance grounded-qa fine-tuning instruction bilingual,stylized,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+4482,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: BILINGUAL; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4482-162406.",insurance grounded-qa fine-tuning instruction bilingual,stylized,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+4483,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4483-962536.",insurance grounded-qa fine-tuning instruction bilingual,stylized,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+4484,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4484-531545.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+4485,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4485-114779.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+4486,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4486-458516.",insurance grounded-qa fine-tuning instruction bilingual,clean,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+4487,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; 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: 4487-638595.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+4488,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: data scientist; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4488-740513.",insurance grounded-qa fine-tuning instruction bilingual,detailed,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+4489,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4489-687719.",insurance grounded-qa fine-tuning instruction bilingual,detailed,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+4490,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4490-391681.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+4491,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4491-757108.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+4492,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4492-647758.",insurance grounded-qa fine-tuning instruction bilingual,clean,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+4493,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4493-291652.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+4494,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: BILINGUAL; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4494-275341.",insurance grounded-qa fine-tuning instruction bilingual,detailed,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+4495,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4495-577418.",insurance grounded-qa fine-tuning instruction bilingual,detailed,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+4496,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: BILINGUAL; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4496-482643.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+4497,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4497-199104.",insurance grounded-qa fine-tuning instruction bilingual,clean,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+4498,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4498-535506.",insurance grounded-qa fine-tuning instruction bilingual,detailed,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+4499,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4499-777035.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+4500,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4500-723969.",insurance grounded-qa fine-tuning instruction bilingual,stylized,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+4501,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4501-819857.",insurance grounded-qa fine-tuning instruction bilingual,clean,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+4502,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: data scientist; Task: grounding-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4502-750088.",insurance grounded-qa fine-tuning instruction bilingual,detailed,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+4503,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; 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: 4503-799301.",insurance grounded-qa fine-tuning instruction bilingual,minimal,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+4504,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; 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: 4504-423722.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+4505,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4505-342497.",insurance grounded-qa fine-tuning instruction bilingual,stylized,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+4506,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: data scientist; Task: quality-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4506-291488.",insurance grounded-qa fine-tuning instruction bilingual,stylized,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+4507,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4507-855249.",insurance grounded-qa fine-tuning instruction bilingual,stylized,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+4508,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4508-244397.",insurance grounded-qa fine-tuning instruction bilingual,minimal,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+4509,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4509-808838.",insurance grounded-qa fine-tuning instruction bilingual,detailed,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+4510,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4510-491630.",insurance grounded-qa fine-tuning instruction bilingual,clean,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+4511,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4511-790320.",insurance grounded-qa fine-tuning instruction bilingual,minimal,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+4512,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: platform engineer; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4512-740247.",insurance grounded-qa fine-tuning instruction bilingual,detailed,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+4513,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4513-598567.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+4514,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4514-538804.",insurance grounded-qa fine-tuning instruction bilingual,stylized,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+4515,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4515-859811.",insurance grounded-qa fine-tuning instruction bilingual,stylized,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+4516,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: BILINGUAL; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4516-971786.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+4517,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4517-624326.",insurance grounded-qa fine-tuning instruction bilingual,minimal,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+4518,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-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: 4518-455497.",insurance grounded-qa fine-tuning instruction bilingual,detailed,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+4519,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; 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: 4519-152602.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+4520,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: BILINGUAL; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4520-273678.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+4521,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4521-471732.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+4522,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4522-286916.",insurance grounded-qa fine-tuning instruction bilingual,clean,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+4523,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4523-259733.",insurance grounded-qa fine-tuning instruction bilingual,stylized,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+4524,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4524-673589.",insurance grounded-qa fine-tuning instruction bilingual,stylized,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+4525,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4525-488489.",insurance grounded-qa fine-tuning instruction bilingual,stylized,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+4526,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4526-230960.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+4527,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: data scientist; Task: grounding-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4527-844667.",insurance grounded-qa fine-tuning instruction bilingual,stylized,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+4528,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4528-734072.",insurance grounded-qa fine-tuning instruction bilingual,detailed,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+4529,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4529-613667.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+4530,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4530-807625.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+4531,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4531-681738.",insurance grounded-qa fine-tuning instruction bilingual,clean,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+4532,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-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: 4532-350686.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+4533,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ml engineer; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4533-586958.",insurance grounded-qa fine-tuning instruction bilingual,clean,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+4534,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4534-902565.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+4535,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4535-667932.",insurance grounded-qa fine-tuning instruction bilingual,minimal,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+4536,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-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: 4536-997256.",insurance grounded-qa fine-tuning instruction bilingual,minimal,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+4537,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: data scientist; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4537-890800.",insurance grounded-qa fine-tuning instruction bilingual,minimal,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+4538,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4538-503172.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+4539,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4539-955686.",insurance grounded-qa fine-tuning instruction bilingual,detailed,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+4540,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4540-126534.",insurance grounded-qa fine-tuning instruction bilingual,minimal,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+4541,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4541-558864.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+4542,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: data scientist; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4542-737841.",insurance grounded-qa fine-tuning instruction bilingual,stylized,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+4543,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4543-379525.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+4544,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ai researcher; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4544-723605.",insurance grounded-qa fine-tuning instruction bilingual,minimal,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+4545,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4545-171899.",insurance grounded-qa fine-tuning instruction bilingual,clean,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+4546,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: data scientist; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4546-713551.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+4547,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; 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: 4547-789369.",insurance grounded-qa fine-tuning instruction bilingual,clean,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+4548,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4548-482286.",insurance grounded-qa fine-tuning instruction bilingual,stylized,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+4549,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: data scientist; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4549-803926.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+4550,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-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: 4550-150574.",insurance grounded-qa fine-tuning instruction bilingual,clean,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+4551,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: data scientist; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4551-843546.",insurance grounded-qa fine-tuning instruction bilingual,minimal,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+4552,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4552-868049.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+4553,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4553-333074.",insurance grounded-qa fine-tuning instruction bilingual,clean,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+4554,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4554-373936.",insurance grounded-qa fine-tuning instruction bilingual,stylized,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+4555,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4555-835290.",insurance grounded-qa fine-tuning instruction bilingual,minimal,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+4556,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4556-942511.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+4557,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4557-862219.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+4558,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: data scientist; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4558-360434.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+4559,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4559-494402.",insurance grounded-qa fine-tuning instruction bilingual,minimal,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+4560,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-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: 4560-253204.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+4561,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; 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: 4561-203998.",insurance grounded-qa fine-tuning instruction bilingual,clean,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+4562,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4562-201598.",insurance grounded-qa fine-tuning instruction bilingual,clean,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+4563,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4563-623888.",insurance grounded-qa fine-tuning instruction bilingual,clean,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+4564,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4564-976317.",insurance grounded-qa fine-tuning instruction bilingual,minimal,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+4565,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4565-887210.",insurance grounded-qa fine-tuning instruction bilingual,stylized,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+4566,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4566-408941.",insurance grounded-qa fine-tuning instruction bilingual,detailed,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+4567,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; 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: 4567-939280.",insurance grounded-qa fine-tuning instruction bilingual,minimal,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+4568,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4568-544229.",insurance grounded-qa fine-tuning instruction bilingual,detailed,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+4569,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4569-198910.",insurance grounded-qa fine-tuning instruction bilingual,stylized,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+4570,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4570-984129.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+4571,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4571-174566.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+4572,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4572-494979.",insurance grounded-qa fine-tuning instruction bilingual,clean,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+4573,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4573-500875.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+4574,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4574-547875.",insurance grounded-qa fine-tuning instruction bilingual,clean,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+4575,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4575-710645.",insurance grounded-qa fine-tuning instruction bilingual,clean,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+4576,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-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: 4576-110143.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+4577,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; 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: 4577-131023.",insurance grounded-qa fine-tuning instruction bilingual,detailed,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+4578,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4578-745393.",insurance grounded-qa fine-tuning instruction bilingual,stylized,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+4579,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-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: 4579-548914.",insurance grounded-qa fine-tuning instruction bilingual,clean,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+4580,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4580-517168.",insurance grounded-qa fine-tuning instruction bilingual,minimal,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+4581,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4581-657721.",insurance grounded-qa fine-tuning instruction bilingual,detailed,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+4582,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: data scientist; Task: grounding-check; Format: long-context; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4582-465374.",insurance grounded-qa fine-tuning instruction bilingual,detailed,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+4583,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-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: 4583-331902.",insurance grounded-qa fine-tuning instruction bilingual,stylized,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+4584,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4584-769941.",insurance grounded-qa fine-tuning instruction bilingual,clean,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+4585,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4585-358168.",insurance grounded-qa fine-tuning instruction bilingual,stylized,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+4586,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4586-628919.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+4587,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ai researcher; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4587-506924.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+4588,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4588-671508.",insurance grounded-qa fine-tuning instruction bilingual,clean,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+4589,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: BILINGUAL; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4589-613084.",insurance grounded-qa fine-tuning instruction bilingual,detailed,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+4590,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: data scientist; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4590-679593.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+4591,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4591-743692.",insurance grounded-qa fine-tuning instruction bilingual,stylized,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+4592,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4592-410829.",insurance grounded-qa fine-tuning instruction bilingual,detailed,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+4593,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4593-830510.",insurance grounded-qa fine-tuning instruction bilingual,stylized,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+4594,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4594-156378.",insurance grounded-qa fine-tuning instruction bilingual,detailed,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+4595,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: data scientist; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4595-928326.",insurance grounded-qa fine-tuning instruction bilingual,stylized,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+4596,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4596-671364.",insurance grounded-qa fine-tuning instruction bilingual,minimal,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+4597,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4597-394642.",insurance grounded-qa fine-tuning instruction bilingual,minimal,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+4598,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ml engineer; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4598-669035.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+4599,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4599-477377.",insurance grounded-qa fine-tuning instruction bilingual,clean,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+4600,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; 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: 4600-280311.",insurance grounded-qa fine-tuning instruction bilingual,stylized,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+4601,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: BILINGUAL; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4601-492523.",insurance grounded-qa fine-tuning instruction bilingual,clean,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+4602,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4602-960600.",insurance grounded-qa fine-tuning instruction bilingual,minimal,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+4603,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: data scientist; Task: benchmarking; Format: long-context; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4603-668630.",insurance grounded-qa fine-tuning instruction bilingual,clean,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+4604,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4604-513426.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+4605,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: data scientist; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4605-345318.",insurance grounded-qa fine-tuning instruction bilingual,minimal,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+4606,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4606-941076.",insurance grounded-qa fine-tuning instruction bilingual,clean,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+4607,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: BILINGUAL; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4607-764330.",insurance grounded-qa fine-tuning instruction bilingual,detailed,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+4608,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4608-368477.",insurance grounded-qa fine-tuning instruction bilingual,clean,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+4609,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4609-947659.",insurance grounded-qa fine-tuning instruction bilingual,stylized,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+4610,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-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: 4610-189934.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+4611,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4611-540065.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+4612,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; 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: 4612-873867.",insurance grounded-qa fine-tuning instruction bilingual,detailed,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+4613,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; 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: 4613-610726.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+4614,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4614-768182.",insurance grounded-qa fine-tuning instruction bilingual,minimal,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+4615,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: data scientist; Task: grounding-check; Format: long-context; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4615-802918.",insurance grounded-qa fine-tuning instruction bilingual,stylized,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+4616,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: data scientist; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4616-525184.",insurance grounded-qa fine-tuning instruction bilingual,minimal,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+4617,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4617-111267.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+4618,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; 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: 4618-416617.",insurance grounded-qa fine-tuning instruction bilingual,detailed,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+4619,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: platform engineer; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4619-137642.",insurance grounded-qa fine-tuning instruction bilingual,minimal,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+4620,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4620-239588.",insurance grounded-qa fine-tuning instruction bilingual,detailed,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+4621,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4621-301855.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+4622,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4622-645359.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+4623,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4623-549319.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+4624,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: data scientist; Task: quality-check; Format: long-context; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4624-940477.",insurance grounded-qa fine-tuning instruction bilingual,clean,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+4625,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4625-582830.",insurance grounded-qa fine-tuning instruction bilingual,stylized,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+4626,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4626-776127.",insurance grounded-qa fine-tuning instruction bilingual,minimal,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+4627,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4627-762557.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+4628,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: data scientist; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4628-824814.",insurance grounded-qa fine-tuning instruction bilingual,detailed,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+4629,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4629-856783.",insurance grounded-qa fine-tuning instruction bilingual,stylized,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+4630,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; 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: 4630-930206.",insurance grounded-qa fine-tuning instruction bilingual,clean,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+4631,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: platform engineer; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4631-683387.",insurance grounded-qa fine-tuning instruction bilingual,detailed,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+4632,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4632-567103.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+4633,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: data scientist; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4633-225870.",insurance grounded-qa fine-tuning instruction bilingual,stylized,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+4634,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4634-606229.",insurance grounded-qa fine-tuning instruction bilingual,stylized,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+4635,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; 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: 4635-552553.",insurance grounded-qa fine-tuning instruction bilingual,clean,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+4636,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ml engineer; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4636-807618.",insurance grounded-qa fine-tuning instruction bilingual,stylized,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+4637,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4637-356382.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+4638,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4638-961896.",insurance grounded-qa fine-tuning instruction bilingual,minimal,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+4639,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4639-908548.",insurance grounded-qa fine-tuning instruction bilingual,minimal,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+4640,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4640-296886.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+4641,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; 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: 4641-487775.",insurance grounded-qa fine-tuning instruction bilingual,detailed,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+4642,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: data scientist; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4642-814232.",insurance grounded-qa fine-tuning instruction bilingual,stylized,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+4643,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4643-344345.",insurance grounded-qa fine-tuning instruction bilingual,minimal,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+4644,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4644-837056.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+4645,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4645-832007.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+4646,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4646-240349.",insurance grounded-qa fine-tuning instruction bilingual,minimal,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+4647,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; 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: 4647-281080.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+4648,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; 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: 4648-283629.",insurance grounded-qa fine-tuning instruction bilingual,stylized,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+4649,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: BILINGUAL; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4649-553413.",insurance grounded-qa fine-tuning instruction bilingual,minimal,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+4650,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4650-230208.",insurance grounded-qa fine-tuning instruction bilingual,clean,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+4651,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4651-913783.",insurance grounded-qa fine-tuning instruction bilingual,clean,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+4652,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4652-295117.",insurance grounded-qa fine-tuning instruction bilingual,clean,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+4653,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN-US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4653-165717.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+4654,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4654-136863.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+4655,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4655-325906.",insurance grounded-qa fine-tuning instruction bilingual,clean,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+4656,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4656-437832.",insurance grounded-qa fine-tuning instruction bilingual,detailed,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+4657,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-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: 4657-911813.",insurance grounded-qa fine-tuning instruction bilingual,minimal,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+4658,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4658-763827.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+4659,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: data scientist; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4659-365573.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+4660,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ml engineer; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4660-904208.",insurance grounded-qa fine-tuning instruction bilingual,minimal,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+4661,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4661-642102.",insurance grounded-qa fine-tuning instruction bilingual,minimal,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+4662,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4662-825912.",insurance grounded-qa fine-tuning instruction bilingual,stylized,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+4663,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4663-870449.",insurance grounded-qa fine-tuning instruction bilingual,stylized,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+4664,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; 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: 4664-632183.",insurance grounded-qa fine-tuning instruction bilingual,detailed,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+4665,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4665-741145.",insurance grounded-qa fine-tuning instruction bilingual,clean,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+4666,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4666-209747.",insurance grounded-qa fine-tuning instruction bilingual,clean,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+4667,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4667-877591.",insurance grounded-qa fine-tuning instruction bilingual,clean,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+4668,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4668-197880.",insurance grounded-qa fine-tuning instruction bilingual,stylized,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+4669,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; 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: 4669-898651.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+4670,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; 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: 4670-677601.",insurance grounded-qa fine-tuning instruction bilingual,clean,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+4671,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4671-168199.",insurance grounded-qa fine-tuning instruction bilingual,clean,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+4672,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4672-112694.",insurance grounded-qa fine-tuning instruction bilingual,detailed,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+4673,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4673-403319.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+4674,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; 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: 4674-837208.",insurance grounded-qa fine-tuning instruction bilingual,clean,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+4675,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4675-888854.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+4676,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4676-577626.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+4677,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4677-581174.",insurance grounded-qa fine-tuning instruction bilingual,stylized,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+4678,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4678-912623.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+4679,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4679-761013.",insurance grounded-qa fine-tuning instruction bilingual,detailed,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+4680,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4680-450688.",insurance grounded-qa fine-tuning instruction bilingual,stylized,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+4681,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4681-580454.",insurance grounded-qa fine-tuning instruction bilingual,stylized,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+4682,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4682-933953.",insurance grounded-qa fine-tuning instruction bilingual,clean,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+4683,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: data scientist; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4683-446501.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+4684,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4684-170977.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+4685,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4685-468215.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+4686,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4686-437417.",insurance grounded-qa fine-tuning instruction bilingual,minimal,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+4687,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4687-136135.",insurance grounded-qa fine-tuning instruction bilingual,clean,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+4688,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: data scientist; Task: benchmarking; Format: long-context; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4688-856376.",insurance grounded-qa fine-tuning instruction bilingual,clean,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+4689,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4689-669040.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+4690,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ml engineer; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4690-731433.",insurance grounded-qa fine-tuning instruction bilingual,minimal,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+4691,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: data scientist; Task: benchmarking; Format: long-context; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4691-724458.",insurance grounded-qa fine-tuning instruction bilingual,minimal,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+4692,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4692-415105.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+4693,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: BILINGUAL; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4693-349742.",insurance grounded-qa fine-tuning instruction bilingual,clean,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+4694,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4694-170817.",insurance grounded-qa fine-tuning instruction bilingual,stylized,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+4695,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: data scientist; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4695-209029.",insurance grounded-qa fine-tuning instruction bilingual,clean,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+4696,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4696-606998.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+4697,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; 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: 4697-707811.",insurance grounded-qa fine-tuning instruction bilingual,clean,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+4698,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4698-491730.",insurance grounded-qa fine-tuning instruction bilingual,clean,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+4699,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; 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: 4699-577113.",insurance grounded-qa fine-tuning instruction bilingual,minimal,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+4700,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4700-844676.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+4701,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4701-330452.",insurance grounded-qa fine-tuning instruction bilingual,detailed,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+4702,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: data scientist; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4702-563359.",insurance grounded-qa fine-tuning instruction bilingual,stylized,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+4703,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-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: 4703-818023.",insurance grounded-qa fine-tuning instruction bilingual,clean,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+4704,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4704-630729.",insurance grounded-qa fine-tuning instruction bilingual,clean,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+4705,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4705-966569.",insurance grounded-qa fine-tuning instruction bilingual,stylized,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+4706,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: data scientist; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4706-690237.",insurance grounded-qa fine-tuning instruction bilingual,clean,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+4707,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: data scientist; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4707-664933.",insurance grounded-qa fine-tuning instruction bilingual,clean,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+4708,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: BILINGUAL; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4708-274510.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+4709,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; 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: 4709-202196.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+4710,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4710-168230.",insurance grounded-qa fine-tuning instruction bilingual,clean,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+4711,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4711-866280.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+4712,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4712-720331.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+4713,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: BILINGUAL; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4713-184854.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+4714,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: data scientist; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4714-736952.",insurance grounded-qa fine-tuning instruction bilingual,clean,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+4715,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4715-171285.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+4716,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4716-896378.",insurance grounded-qa fine-tuning instruction bilingual,minimal,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+4717,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; 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: 4717-709836.",insurance grounded-qa fine-tuning instruction bilingual,clean,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+4718,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: data scientist; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4718-461377.",insurance grounded-qa fine-tuning instruction bilingual,detailed,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+4719,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; 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: 4719-189078.",insurance grounded-qa fine-tuning instruction bilingual,stylized,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+4720,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4720-813053.",insurance grounded-qa fine-tuning instruction bilingual,clean,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+4721,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4721-703323.",insurance grounded-qa fine-tuning instruction bilingual,detailed,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+4722,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: data scientist; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4722-696937.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+4723,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4723-318439.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+4724,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4724-708593.",insurance grounded-qa fine-tuning instruction bilingual,clean,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+4725,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4725-162528.",insurance grounded-qa fine-tuning instruction bilingual,detailed,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+4726,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4726-694029.",insurance grounded-qa fine-tuning instruction bilingual,detailed,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+4727,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4727-701328.",insurance grounded-qa fine-tuning instruction bilingual,minimal,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+4728,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; 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: 4728-462243.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+4729,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4729-222342.",insurance grounded-qa fine-tuning instruction bilingual,stylized,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+4730,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ml engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4730-424957.",insurance grounded-qa fine-tuning instruction bilingual,minimal,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+4731,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4731-892895.",insurance grounded-qa fine-tuning instruction bilingual,minimal,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+4732,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4732-702079.",insurance grounded-qa fine-tuning instruction bilingual,minimal,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+4733,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4733-600269.",insurance grounded-qa fine-tuning instruction bilingual,detailed,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+4734,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: data scientist; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4734-171858.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+4735,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4735-183807.",insurance grounded-qa fine-tuning instruction bilingual,minimal,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+4736,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4736-400339.",insurance grounded-qa fine-tuning instruction bilingual,stylized,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+4737,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4737-874790.",insurance grounded-qa fine-tuning instruction bilingual,stylized,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+4738,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4738-427967.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+4739,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4739-948172.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+4740,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4740-419483.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+4741,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: data scientist; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4741-258901.",insurance grounded-qa fine-tuning instruction bilingual,stylized,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+4742,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4742-739430.",insurance grounded-qa fine-tuning instruction bilingual,minimal,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+4743,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4743-596535.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+4744,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4744-728122.",insurance grounded-qa fine-tuning instruction bilingual,detailed,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+4745,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4745-761683.",insurance grounded-qa fine-tuning instruction bilingual,stylized,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+4746,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4746-122685.",insurance grounded-qa fine-tuning instruction bilingual,stylized,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+4747,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4747-386726.",insurance grounded-qa fine-tuning instruction bilingual,clean,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+4748,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4748-412215.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+4749,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4749-718514.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+4750,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4750-700262.",insurance grounded-qa fine-tuning instruction bilingual,minimal,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+4751,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-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: 4751-516850.",insurance grounded-qa fine-tuning instruction bilingual,detailed,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+4752,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4752-963789.",insurance grounded-qa fine-tuning instruction bilingual,clean,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+4753,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: data scientist; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4753-821942.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+4754,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4754-862099.",insurance grounded-qa fine-tuning instruction bilingual,minimal,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+4755,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4755-199796.",insurance grounded-qa fine-tuning instruction bilingual,clean,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+4756,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4756-624223.",insurance grounded-qa fine-tuning instruction bilingual,detailed,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+4757,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4757-552723.",insurance grounded-qa fine-tuning instruction bilingual,stylized,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+4758,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-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: 4758-544982.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+4759,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4759-336285.",insurance grounded-qa fine-tuning instruction bilingual,clean,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+4760,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-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: 4760-933256.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+4761,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4761-160216.",insurance grounded-qa fine-tuning instruction bilingual,stylized,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+4762,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4762-966446.",insurance grounded-qa fine-tuning instruction bilingual,minimal,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+4763,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; 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: 4763-903822.",insurance grounded-qa fine-tuning instruction bilingual,stylized,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+4764,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4764-487918.",insurance grounded-qa fine-tuning instruction bilingual,stylized,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+4765,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4765-121275.",insurance grounded-qa fine-tuning instruction bilingual,minimal,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+4766,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4766-267028.",insurance grounded-qa fine-tuning instruction bilingual,stylized,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+4767,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4767-421098.",insurance grounded-qa fine-tuning instruction bilingual,stylized,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+4768,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4768-908685.",insurance grounded-qa fine-tuning instruction bilingual,detailed,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+4769,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4769-560344.",insurance grounded-qa fine-tuning instruction bilingual,stylized,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+4770,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4770-130364.",insurance grounded-qa fine-tuning instruction bilingual,minimal,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+4771,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: BILINGUAL; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4771-477686.",insurance grounded-qa fine-tuning instruction bilingual,minimal,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+4772,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4772-585903.",insurance grounded-qa fine-tuning instruction bilingual,minimal,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+4773,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: data scientist; Task: quality-check; Format: long-context; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4773-549975.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+4774,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: BILINGUAL; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4774-970428.",insurance grounded-qa fine-tuning instruction bilingual,clean,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+4775,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4775-896914.",insurance grounded-qa fine-tuning instruction bilingual,detailed,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+4776,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; 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: 4776-883473.",insurance grounded-qa fine-tuning instruction bilingual,stylized,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+4777,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4777-823182.",insurance grounded-qa fine-tuning instruction bilingual,minimal,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+4778,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: BILINGUAL; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4778-587820.",insurance grounded-qa fine-tuning instruction bilingual,stylized,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+4779,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4779-505197.",insurance grounded-qa fine-tuning instruction bilingual,stylized,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+4780,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4780-741166.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+4781,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4781-798552.",insurance grounded-qa fine-tuning instruction bilingual,stylized,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+4782,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4782-648890.",insurance grounded-qa fine-tuning instruction bilingual,detailed,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+4783,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ai researcher; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4783-771555.",insurance grounded-qa fine-tuning instruction bilingual,detailed,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+4784,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4784-637763.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+4785,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4785-557940.",insurance grounded-qa fine-tuning instruction bilingual,minimal,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+4786,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4786-117485.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+4787,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ai researcher; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4787-792072.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+4788,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4788-566604.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+4789,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; 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: 4789-238727.",insurance grounded-qa fine-tuning instruction bilingual,detailed,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+4790,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4790-717369.",insurance grounded-qa fine-tuning instruction bilingual,detailed,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+4791,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4791-157600.",insurance grounded-qa fine-tuning instruction bilingual,stylized,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+4792,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; 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: 4792-518921.",insurance grounded-qa fine-tuning instruction bilingual,stylized,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+4793,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4793-192844.",insurance grounded-qa fine-tuning instruction bilingual,detailed,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+4794,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: BILINGUAL; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4794-304659.",insurance grounded-qa fine-tuning instruction bilingual,clean,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+4795,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4795-837722.",insurance grounded-qa fine-tuning instruction bilingual,minimal,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+4796,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4796-185368.",insurance grounded-qa fine-tuning instruction bilingual,minimal,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+4797,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4797-627576.",insurance grounded-qa fine-tuning instruction bilingual,clean,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+4798,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4798-950555.",insurance grounded-qa fine-tuning instruction bilingual,detailed,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+4799,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; 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: 4799-484674.",insurance grounded-qa fine-tuning instruction bilingual,detailed,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+4800,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: BILINGUAL; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4800-780699.",insurance grounded-qa fine-tuning instruction bilingual,clean,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+4801,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4801-192049.",insurance grounded-qa fine-tuning instruction bilingual,detailed,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+4802,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4802-450736.",insurance grounded-qa fine-tuning instruction bilingual,detailed,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+4803,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4803-645713.",insurance grounded-qa fine-tuning instruction bilingual,stylized,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+4804,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4804-245200.",insurance grounded-qa fine-tuning instruction bilingual,clean,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+4805,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4805-686275.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+4806,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: data scientist; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4806-374910.",insurance grounded-qa fine-tuning instruction bilingual,minimal,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+4807,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: BILINGUAL; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4807-670974.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+4808,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4808-508757.",insurance grounded-qa fine-tuning instruction bilingual,detailed,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+4809,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: data scientist; Task: benchmarking; Format: long-context; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4809-924160.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+4810,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4810-853776.",insurance grounded-qa fine-tuning instruction bilingual,clean,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+4811,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4811-857833.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+4812,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4812-975182.",insurance grounded-qa fine-tuning instruction bilingual,minimal,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+4813,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4813-471628.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+4814,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4814-653965.",insurance grounded-qa fine-tuning instruction bilingual,detailed,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+4815,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4815-592256.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+4816,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4816-220843.",insurance grounded-qa fine-tuning instruction bilingual,stylized,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+4817,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4817-503134.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+4818,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4818-592107.",insurance grounded-qa fine-tuning instruction bilingual,stylized,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+4819,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4819-803704.",insurance grounded-qa fine-tuning instruction bilingual,stylized,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+4820,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4820-520399.",insurance grounded-qa fine-tuning instruction bilingual,minimal,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+4821,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4821-236728.",insurance grounded-qa fine-tuning instruction bilingual,clean,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+4822,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; 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: 4822-576635.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+4823,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; 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: 4823-653400.",insurance grounded-qa fine-tuning instruction bilingual,stylized,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+4824,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: BILINGUAL; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4824-415290.",insurance grounded-qa fine-tuning instruction bilingual,detailed,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+4825,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: BILINGUAL; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4825-542365.",insurance grounded-qa fine-tuning instruction bilingual,detailed,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+4826,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4826-298000.",insurance grounded-qa fine-tuning instruction bilingual,minimal,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+4827,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4827-559474.",insurance grounded-qa fine-tuning instruction bilingual,detailed,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+4828,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4828-676496.",insurance grounded-qa fine-tuning instruction bilingual,stylized,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+4829,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4829-583839.",insurance grounded-qa fine-tuning instruction bilingual,detailed,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+4830,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: data scientist; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4830-128849.",insurance grounded-qa fine-tuning instruction bilingual,clean,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+4831,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4831-852517.",insurance grounded-qa fine-tuning instruction bilingual,stylized,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+4832,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; 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: 4832-993381.",insurance grounded-qa fine-tuning instruction bilingual,detailed,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+4833,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4833-622297.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+4834,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4834-756704.",insurance grounded-qa fine-tuning instruction bilingual,clean,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+4835,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4835-593281.",insurance grounded-qa fine-tuning instruction bilingual,minimal,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+4836,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: data scientist; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4836-907906.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+4837,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4837-358926.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+4838,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4838-837823.",insurance grounded-qa fine-tuning instruction bilingual,clean,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+4839,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4839-350645.",insurance grounded-qa fine-tuning instruction bilingual,clean,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+4840,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4840-500902.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+4841,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4841-984914.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+4842,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4842-404723.",insurance grounded-qa fine-tuning instruction bilingual,stylized,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+4843,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4843-615649.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+4844,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4844-922022.",insurance grounded-qa fine-tuning instruction bilingual,detailed,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+4845,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4845-843721.",insurance grounded-qa fine-tuning instruction bilingual,detailed,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+4846,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4846-416055.",insurance grounded-qa fine-tuning instruction bilingual,minimal,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+4847,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; 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: 4847-496434.",insurance grounded-qa fine-tuning instruction bilingual,stylized,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+4848,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4848-183613.",insurance grounded-qa fine-tuning instruction bilingual,clean,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+4849,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4849-891424.",insurance grounded-qa fine-tuning instruction bilingual,stylized,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+4850,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; 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: 4850-620920.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+4851,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: data scientist; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4851-265601.",insurance grounded-qa fine-tuning instruction bilingual,clean,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+4852,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4852-106475.",insurance grounded-qa fine-tuning instruction bilingual,detailed,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+4853,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4853-120593.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+4854,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4854-218588.",insurance grounded-qa fine-tuning instruction bilingual,minimal,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+4855,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: platform engineer; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4855-682519.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+4856,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; 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: 4856-414857.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+4857,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4857-439169.",insurance grounded-qa fine-tuning instruction bilingual,minimal,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+4858,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4858-750838.",insurance grounded-qa fine-tuning instruction bilingual,detailed,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+4859,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4859-167562.",insurance grounded-qa fine-tuning instruction bilingual,stylized,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+4860,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4860-559970.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+4861,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: data scientist; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4861-867931.",insurance grounded-qa fine-tuning instruction bilingual,detailed,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+4862,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4862-995688.",insurance grounded-qa fine-tuning instruction bilingual,detailed,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+4863,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4863-525216.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+4864,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: data scientist; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4864-282193.",insurance grounded-qa fine-tuning instruction bilingual,minimal,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+4865,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4865-533479.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+4866,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4866-232965.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+4867,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4867-831451.",insurance grounded-qa fine-tuning instruction bilingual,detailed,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+4868,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: BILINGUAL; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4868-606098.",insurance grounded-qa fine-tuning instruction bilingual,detailed,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+4869,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4869-373443.",insurance grounded-qa fine-tuning instruction bilingual,detailed,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+4870,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4870-168642.",insurance grounded-qa fine-tuning instruction bilingual,minimal,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+4871,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4871-340289.",insurance grounded-qa fine-tuning instruction bilingual,minimal,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+4872,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ml engineer; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4872-786639.",insurance grounded-qa fine-tuning instruction bilingual,stylized,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+4873,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: platform engineer; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4873-298289.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+4874,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4874-196737.",insurance grounded-qa fine-tuning instruction bilingual,detailed,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+4875,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: platform engineer; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4875-820842.",insurance grounded-qa fine-tuning instruction bilingual,minimal,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+4876,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-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: 4876-524562.",insurance grounded-qa fine-tuning instruction bilingual,minimal,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+4877,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4877-708611.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+4878,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4878-554026.",insurance grounded-qa fine-tuning instruction bilingual,detailed,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+4879,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4879-434960.",insurance grounded-qa fine-tuning instruction bilingual,stylized,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+4880,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4880-273657.",insurance grounded-qa fine-tuning instruction bilingual,minimal,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+4881,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4881-704266.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+4882,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4882-255204.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+4883,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4883-417331.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+4884,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; 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: 4884-139042.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+4885,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; 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: 4885-962342.",insurance grounded-qa fine-tuning instruction bilingual,detailed,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+4886,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4886-288948.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+4887,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ml engineer; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4887-865979.",insurance grounded-qa fine-tuning instruction bilingual,stylized,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+4888,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4888-863761.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+4889,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: data scientist; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4889-479267.",insurance grounded-qa fine-tuning instruction bilingual,stylized,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+4890,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4890-117851.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+4891,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-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: 4891-199418.",insurance grounded-qa fine-tuning instruction bilingual,detailed,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+4892,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4892-690503.",insurance grounded-qa fine-tuning instruction bilingual,detailed,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+4893,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4893-867058.",insurance grounded-qa fine-tuning instruction bilingual,minimal,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+4894,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: platform engineer; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4894-869094.",insurance grounded-qa fine-tuning instruction bilingual,detailed,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+4895,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4895-790257.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+4896,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ai researcher; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4896-698974.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+4897,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4897-306857.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+4898,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ai researcher; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4898-312115.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+4899,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ai researcher; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4899-471792.",insurance grounded-qa fine-tuning instruction bilingual,clean,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+4900,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ml engineer; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4900-365261.",insurance grounded-qa fine-tuning instruction bilingual,clean,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+4901,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4901-240543.",insurance grounded-qa fine-tuning instruction bilingual,detailed,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+4902,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4902-112573.",insurance grounded-qa fine-tuning instruction bilingual,minimal,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+4903,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4903-461184.",insurance grounded-qa fine-tuning instruction bilingual,minimal,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+4904,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4904-254179.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+4905,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4905-181167.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+4906,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; 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: 4906-845755.",insurance grounded-qa fine-tuning instruction bilingual,detailed,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+4907,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; 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: 4907-552962.",insurance grounded-qa fine-tuning instruction bilingual,stylized,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+4908,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4908-631074.",insurance grounded-qa fine-tuning instruction bilingual,detailed,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+4909,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4909-138784.",insurance grounded-qa fine-tuning instruction bilingual,stylized,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+4910,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4910-169703.",insurance grounded-qa fine-tuning instruction bilingual,clean,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+4911,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4911-170166.",insurance grounded-qa fine-tuning instruction bilingual,clean,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+4912,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ai researcher; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4912-355192.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+4913,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4913-204451.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+4914,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4914-555444.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+4915,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4915-786387.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+4916,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4916-932571.",insurance grounded-qa fine-tuning instruction bilingual,minimal,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+4917,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4917-782466.",insurance grounded-qa fine-tuning instruction bilingual,minimal,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+4918,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: data scientist; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4918-818542.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+4919,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: BILINGUAL; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4919-466970.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+4920,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ml engineer; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4920-816992.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+4921,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4921-660534.",insurance grounded-qa fine-tuning instruction bilingual,detailed,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+4922,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4922-577641.",insurance grounded-qa fine-tuning instruction bilingual,detailed,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+4923,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4923-780621.",insurance grounded-qa fine-tuning instruction bilingual,detailed,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+4924,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4924-586235.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+4925,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4925-413286.",insurance grounded-qa fine-tuning instruction bilingual,clean,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+4926,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: data scientist; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4926-166942.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+4927,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4927-758615.",insurance grounded-qa fine-tuning instruction bilingual,minimal,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+4928,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4928-714646.",insurance grounded-qa fine-tuning instruction bilingual,minimal,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+4929,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4929-393528.",insurance grounded-qa fine-tuning instruction bilingual,clean,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+4930,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ai researcher; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4930-659789.",insurance grounded-qa fine-tuning instruction bilingual,minimal,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+4931,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4931-144463.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+4932,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; 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: 4932-500267.",insurance grounded-qa fine-tuning instruction bilingual,stylized,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+4933,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4933-258084.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+4934,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; 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: 4934-891558.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+4935,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4935-865612.",insurance grounded-qa fine-tuning instruction bilingual,detailed,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+4936,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-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: 4936-458437.",insurance grounded-qa fine-tuning instruction bilingual,stylized,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+4937,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4937-807269.",insurance grounded-qa fine-tuning instruction bilingual,clean,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+4938,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4938-369699.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+4939,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4939-907637.",insurance grounded-qa fine-tuning instruction bilingual,minimal,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+4940,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4940-662507.",insurance grounded-qa fine-tuning instruction bilingual,minimal,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+4941,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: data scientist; Task: quality-check; Format: long-context; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4941-642034.",insurance grounded-qa fine-tuning instruction bilingual,detailed,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+4942,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4942-386948.",insurance grounded-qa fine-tuning instruction bilingual,detailed,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+4943,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4943-414055.",insurance grounded-qa fine-tuning instruction bilingual,minimal,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+4944,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ai researcher; Task: quality-check; Format: long-context; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4944-224471.",insurance grounded-qa fine-tuning instruction bilingual,minimal,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+4945,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4945-165081.",insurance grounded-qa fine-tuning instruction bilingual,clean,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+4946,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; 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: 4946-402550.",insurance grounded-qa fine-tuning instruction bilingual,clean,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+4947,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4947-907888.",insurance grounded-qa fine-tuning instruction bilingual,stylized,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+4948,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4948-706294.",insurance grounded-qa fine-tuning instruction bilingual,clean,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+4949,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4949-141650.",insurance grounded-qa fine-tuning instruction bilingual,detailed,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+4950,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: BILINGUAL; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4950-774328.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+4951,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; 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: 4951-350038.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+4952,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: BILINGUAL; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4952-708178.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+4953,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4953-265595.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+4954,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4954-694101.",insurance grounded-qa fine-tuning instruction bilingual,stylized,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+4955,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: data scientist; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4955-501017.",insurance grounded-qa fine-tuning instruction bilingual,clean,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+4956,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4956-125557.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+4957,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; 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: 4957-490086.",insurance grounded-qa fine-tuning instruction bilingual,clean,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+4958,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4958-821189.",insurance grounded-qa fine-tuning instruction bilingual,minimal,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+4959,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4959-980203.",insurance grounded-qa fine-tuning instruction bilingual,detailed,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+4960,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4960-203880.",insurance grounded-qa fine-tuning instruction bilingual,detailed,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+4961,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4961-846827.",insurance grounded-qa fine-tuning instruction bilingual,minimal,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+4962,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ai researcher; Task: quality-check; Format: long-context; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4962-385627.",insurance grounded-qa fine-tuning instruction bilingual,detailed,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+4963,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; 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: 4963-383191.",insurance grounded-qa fine-tuning instruction bilingual,minimal,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+4964,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4964-148554.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+4965,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4965-784281.",insurance grounded-qa fine-tuning instruction bilingual,detailed,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+4966,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: data scientist; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4966-199839.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+4967,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4967-133555.",insurance grounded-qa fine-tuning instruction bilingual,minimal,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+4968,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4968-857298.",insurance grounded-qa fine-tuning instruction bilingual,stylized,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+4969,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4969-605161.",insurance grounded-qa fine-tuning instruction bilingual,detailed,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+4970,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4970-718664.",insurance grounded-qa fine-tuning instruction bilingual,stylized,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+4971,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-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: 4971-677408.",insurance grounded-qa fine-tuning instruction bilingual,detailed,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+4972,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: data scientist; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4972-877222.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+4973,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; 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: 4973-317273.",insurance grounded-qa fine-tuning instruction bilingual,detailed,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+4974,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4974-999635.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+4975,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4975-778810.",insurance grounded-qa fine-tuning instruction bilingual,minimal,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+4976,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4976-196643.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+4977,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4977-766423.",insurance grounded-qa fine-tuning instruction bilingual,stylized,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+4978,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4978-166927.",insurance grounded-qa fine-tuning instruction bilingual,detailed,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+4979,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4979-334987.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+4980,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4980-176972.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+4981,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4981-176005.",insurance grounded-qa fine-tuning instruction bilingual,detailed,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+4982,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-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: 4982-947050.",insurance grounded-qa fine-tuning instruction bilingual,minimal,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+4983,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4983-719357.",insurance grounded-qa fine-tuning instruction bilingual,clean,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+4984,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4984-540691.",insurance grounded-qa fine-tuning instruction bilingual,minimal,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+4985,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-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: 4985-960688.",insurance grounded-qa fine-tuning instruction bilingual,stylized,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+4986,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4986-549688.",insurance grounded-qa fine-tuning instruction bilingual,minimal,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+4987,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: data scientist; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4987-368674.",insurance grounded-qa fine-tuning instruction bilingual,detailed,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+4988,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4988-293919.",insurance grounded-qa fine-tuning instruction bilingual,stylized,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+4989,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4989-665693.",insurance grounded-qa fine-tuning instruction bilingual,stylized,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+4990,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4990-671002.",insurance grounded-qa fine-tuning instruction bilingual,clean,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+4991,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4991-733591.",insurance grounded-qa fine-tuning instruction bilingual,detailed,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+4992,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: data scientist; Task: grounding-check; Format: long-context; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4992-485329.",insurance grounded-qa fine-tuning instruction bilingual,stylized,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+4993,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4993-149374.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+4994,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; 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: 4994-370853.",insurance grounded-qa fine-tuning instruction bilingual,stylized,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+4995,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4995-931303.",insurance grounded-qa fine-tuning instruction bilingual,detailed,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+4996,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4996-899487.",insurance grounded-qa fine-tuning instruction bilingual,clean,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+4997,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4997-927488.",insurance grounded-qa fine-tuning instruction bilingual,detailed,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+4998,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; 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: 4998-975740.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+4999,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4999-300778.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+5000,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; 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: 5000-448689.",insurance grounded-qa fine-tuning instruction bilingual,stylized,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+5001,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5001-679824.",insurance grounded-qa fine-tuning instruction bilingual,minimal,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+5002,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: platform engineer; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5002-530610.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+5003,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5003-479260.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+5004,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5004-576473.",insurance grounded-qa fine-tuning instruction bilingual,minimal,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+5005,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5005-265300.",insurance grounded-qa fine-tuning instruction bilingual,stylized,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+5006,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5006-186300.",insurance grounded-qa fine-tuning instruction bilingual,clean,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+5007,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5007-615995.",insurance grounded-qa fine-tuning instruction bilingual,detailed,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+5008,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5008-196760.",insurance grounded-qa fine-tuning instruction bilingual,clean,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+5009,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: data scientist; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5009-314916.",insurance grounded-qa fine-tuning instruction bilingual,clean,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+5010,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5010-753248.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+5011,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; 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: 5011-886156.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+5012,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5012-712582.",insurance grounded-qa fine-tuning instruction bilingual,detailed,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+5013,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5013-817001.",insurance grounded-qa fine-tuning instruction bilingual,detailed,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+5014,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5014-457459.",insurance grounded-qa fine-tuning instruction bilingual,clean,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+5015,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5015-635533.",insurance grounded-qa fine-tuning instruction bilingual,stylized,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+5016,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; 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: 5016-870808.",insurance grounded-qa fine-tuning instruction bilingual,stylized,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+5017,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5017-896450.",insurance grounded-qa fine-tuning instruction bilingual,detailed,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+5018,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5018-785511.",insurance grounded-qa fine-tuning instruction bilingual,detailed,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+5019,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5019-803394.",insurance grounded-qa fine-tuning instruction bilingual,clean,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+5020,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5020-436336.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+5021,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5021-140556.",insurance grounded-qa fine-tuning instruction bilingual,stylized,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+5022,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5022-696122.",insurance grounded-qa fine-tuning instruction bilingual,clean,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+5023,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5023-781431.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+5024,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: platform engineer; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5024-521084.",insurance grounded-qa fine-tuning instruction bilingual,clean,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+5025,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5025-458417.",insurance grounded-qa fine-tuning instruction bilingual,stylized,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+5026,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5026-474075.",insurance grounded-qa fine-tuning instruction bilingual,stylized,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+5027,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; 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: 5027-185119.",insurance grounded-qa fine-tuning instruction bilingual,minimal,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+5028,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5028-116817.",insurance grounded-qa fine-tuning instruction bilingual,detailed,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+5029,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5029-461675.",insurance grounded-qa fine-tuning instruction bilingual,stylized,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+5030,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5030-863912.",insurance grounded-qa fine-tuning instruction bilingual,minimal,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+5031,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: data scientist; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5031-295465.",insurance grounded-qa fine-tuning instruction bilingual,detailed,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+5032,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: data scientist; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5032-481263.",insurance grounded-qa fine-tuning instruction bilingual,clean,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+5033,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5033-603485.",insurance grounded-qa fine-tuning instruction bilingual,detailed,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+5034,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; 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: 5034-457781.",insurance grounded-qa fine-tuning instruction bilingual,stylized,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+5035,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ml engineer; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5035-666352.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+5036,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; 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: 5036-828139.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+5037,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: BILINGUAL; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5037-901896.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+5038,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: BILINGUAL; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5038-725084.",insurance grounded-qa fine-tuning instruction bilingual,minimal,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+5039,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5039-654341.",insurance grounded-qa fine-tuning instruction bilingual,detailed,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+5040,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: BILINGUAL; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5040-839371.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+5041,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5041-942430.",insurance grounded-qa fine-tuning instruction bilingual,minimal,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+5042,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; 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: 5042-876752.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+5043,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-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: 5043-997365.",insurance grounded-qa fine-tuning instruction bilingual,minimal,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+5044,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5044-548002.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+5045,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: BILINGUAL; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5045-491578.",insurance grounded-qa fine-tuning instruction bilingual,minimal,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+5046,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5046-120935.",insurance grounded-qa fine-tuning instruction bilingual,minimal,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+5047,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: BILINGUAL; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5047-121225.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+5048,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5048-295204.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+5049,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: BILINGUAL; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5049-602668.",insurance grounded-qa fine-tuning instruction bilingual,stylized,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+5050,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5050-451661.",insurance grounded-qa fine-tuning instruction bilingual,stylized,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+5051,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5051-880208.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+5052,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5052-415961.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+5053,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5053-411207.",insurance grounded-qa fine-tuning instruction bilingual,clean,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+5054,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; 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: 5054-310780.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+5055,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5055-487033.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+5056,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: data scientist; Task: benchmarking; Format: long-context; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5056-485734.",insurance grounded-qa fine-tuning instruction bilingual,clean,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+5057,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5057-386107.",insurance grounded-qa fine-tuning instruction bilingual,minimal,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+5058,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5058-477190.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+5059,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-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: 5059-531875.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+5060,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5060-913839.",insurance grounded-qa fine-tuning instruction bilingual,clean,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+5061,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-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: 5061-146803.",insurance grounded-qa fine-tuning instruction bilingual,minimal,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+5062,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ml engineer; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5062-106454.",insurance grounded-qa fine-tuning instruction bilingual,stylized,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+5063,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; 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: 5063-193588.",insurance grounded-qa fine-tuning instruction bilingual,clean,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+5064,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5064-514672.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+5065,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: data scientist; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5065-637789.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+5066,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5066-756590.",insurance grounded-qa fine-tuning instruction bilingual,stylized,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+5067,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5067-970677.",insurance grounded-qa fine-tuning instruction bilingual,detailed,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+5068,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5068-620212.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+5069,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5069-377544.",insurance grounded-qa fine-tuning instruction bilingual,clean,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+5070,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: platform engineer; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5070-326389.",insurance grounded-qa fine-tuning instruction bilingual,stylized,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+5071,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: BILINGUAL; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5071-360196.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+5072,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5072-612917.",insurance grounded-qa fine-tuning instruction bilingual,clean,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+5073,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5073-813778.",insurance grounded-qa fine-tuning instruction bilingual,minimal,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+5074,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; 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: 5074-248427.",insurance grounded-qa fine-tuning instruction bilingual,stylized,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+5075,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: data scientist; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5075-705284.",insurance grounded-qa fine-tuning instruction bilingual,clean,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+5076,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5076-694529.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+5077,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5077-199420.",insurance grounded-qa fine-tuning instruction bilingual,detailed,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+5078,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-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: 5078-781728.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+5079,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5079-975607.",insurance grounded-qa fine-tuning instruction bilingual,clean,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+5080,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5080-776714.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+5081,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5081-162823.",insurance grounded-qa fine-tuning instruction bilingual,detailed,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+5082,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5082-137627.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+5083,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5083-230789.",insurance grounded-qa fine-tuning instruction bilingual,minimal,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+5084,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5084-556668.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+5085,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5085-813194.",insurance grounded-qa fine-tuning instruction bilingual,stylized,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+5086,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5086-204608.",insurance grounded-qa fine-tuning instruction bilingual,detailed,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+5087,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-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: 5087-659422.",insurance grounded-qa fine-tuning instruction bilingual,stylized,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+5088,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5088-247974.",insurance grounded-qa fine-tuning instruction bilingual,minimal,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+5089,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; 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: 5089-117473.",insurance grounded-qa fine-tuning instruction bilingual,detailed,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+5090,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5090-673217.",insurance grounded-qa fine-tuning instruction bilingual,clean,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+5091,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5091-529794.",insurance grounded-qa fine-tuning instruction bilingual,clean,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+5092,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5092-563091.",insurance grounded-qa fine-tuning instruction bilingual,clean,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+5093,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5093-512187.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+5094,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5094-930553.",insurance grounded-qa fine-tuning instruction bilingual,detailed,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+5095,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5095-346333.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+5096,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5096-428611.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+5097,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; 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: 5097-625690.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+5098,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: platform engineer; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5098-535173.",insurance grounded-qa fine-tuning instruction bilingual,stylized,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+5099,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-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: 5099-924765.",insurance grounded-qa fine-tuning instruction bilingual,minimal,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+5100,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ml engineer; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5100-572245.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+5101,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; 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: 5101-297665.",insurance grounded-qa fine-tuning instruction bilingual,minimal,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+5102,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-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: 5102-587384.",insurance grounded-qa fine-tuning instruction bilingual,detailed,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+5103,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5103-388859.",insurance grounded-qa fine-tuning instruction bilingual,stylized,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+5104,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5104-309062.",insurance grounded-qa fine-tuning instruction bilingual,clean,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+5105,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5105-174934.",insurance grounded-qa fine-tuning instruction bilingual,minimal,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+5106,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5106-170472.",insurance grounded-qa fine-tuning instruction bilingual,detailed,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+5107,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5107-765838.",insurance grounded-qa fine-tuning instruction bilingual,minimal,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+5108,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5108-651757.",insurance grounded-qa fine-tuning instruction bilingual,detailed,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+5109,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5109-918336.",insurance grounded-qa fine-tuning instruction bilingual,stylized,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+5110,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5110-296140.",insurance grounded-qa fine-tuning instruction bilingual,clean,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+5111,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5111-921382.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+5112,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5112-824393.",insurance grounded-qa fine-tuning instruction bilingual,detailed,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+5113,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5113-457837.",insurance grounded-qa fine-tuning instruction bilingual,detailed,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+5114,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: BILINGUAL; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5114-937518.",insurance grounded-qa fine-tuning instruction bilingual,stylized,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+5115,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; 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: 5115-914283.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+5116,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: platform engineer; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5116-135057.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+5117,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5117-328647.",insurance grounded-qa fine-tuning instruction bilingual,minimal,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+5118,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5118-730903.",insurance grounded-qa fine-tuning instruction bilingual,detailed,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+5119,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: BILINGUAL; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5119-903754.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+5120,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; 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: 5120-648348.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+5121,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; 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: 5121-708305.",insurance grounded-qa fine-tuning instruction bilingual,minimal,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+5122,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5122-804931.",insurance grounded-qa fine-tuning instruction bilingual,clean,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+5123,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5123-167168.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+5124,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5124-715557.",insurance grounded-qa fine-tuning instruction bilingual,clean,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+5125,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: data scientist; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5125-847337.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+5126,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5126-879912.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+5127,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5127-445708.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+5128,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: data scientist; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5128-888025.",insurance grounded-qa fine-tuning instruction bilingual,stylized,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+5129,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5129-884290.",insurance grounded-qa fine-tuning instruction bilingual,detailed,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+5130,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5130-564642.",insurance grounded-qa fine-tuning instruction bilingual,stylized,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+5131,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5131-278012.",insurance grounded-qa fine-tuning instruction bilingual,stylized,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+5132,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5132-580759.",insurance grounded-qa fine-tuning instruction bilingual,minimal,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+5133,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5133-464267.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+5134,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5134-523657.",insurance grounded-qa fine-tuning instruction bilingual,clean,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+5135,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-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: 5135-260912.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+5136,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; 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: 5136-223466.",insurance grounded-qa fine-tuning instruction bilingual,clean,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+5137,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5137-774083.",insurance grounded-qa fine-tuning instruction bilingual,minimal,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+5138,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5138-615946.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+5139,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5139-184223.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+5140,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; 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: 5140-680584.",insurance grounded-qa fine-tuning instruction bilingual,clean,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+5141,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; 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: 5141-173470.",insurance grounded-qa fine-tuning instruction bilingual,detailed,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+5142,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: BILINGUAL; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5142-927959.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+5143,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5143-866522.",insurance grounded-qa fine-tuning instruction bilingual,stylized,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+5144,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ml engineer; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5144-514477.",insurance grounded-qa fine-tuning instruction bilingual,detailed,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+5145,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5145-683138.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+5146,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: platform engineer; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5146-441990.",insurance grounded-qa fine-tuning instruction bilingual,clean,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+5147,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5147-499415.",insurance grounded-qa fine-tuning instruction bilingual,minimal,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+5148,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5148-711811.",insurance grounded-qa fine-tuning instruction bilingual,minimal,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+5149,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5149-926640.",insurance grounded-qa fine-tuning instruction bilingual,stylized,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+5150,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5150-258599.",insurance grounded-qa fine-tuning instruction bilingual,clean,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+5151,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5151-911262.",insurance grounded-qa fine-tuning instruction bilingual,clean,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+5152,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: data scientist; Task: benchmarking; Format: long-context; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5152-972556.",insurance grounded-qa fine-tuning instruction bilingual,detailed,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+5153,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5153-242291.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+5154,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5154-368901.",insurance grounded-qa fine-tuning instruction bilingual,stylized,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+5155,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5155-756134.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+5156,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ml engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5156-332211.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+5157,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5157-580596.",insurance grounded-qa fine-tuning instruction bilingual,clean,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+5158,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; 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: 5158-699659.",insurance grounded-qa fine-tuning instruction bilingual,clean,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+5159,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5159-280650.",insurance grounded-qa fine-tuning instruction bilingual,clean,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+5160,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; 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: 5160-621883.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+5161,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5161-488245.",insurance grounded-qa fine-tuning instruction bilingual,clean,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+5162,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5162-398616.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+5163,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: BILINGUAL; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5163-830893.",insurance grounded-qa fine-tuning instruction bilingual,stylized,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+5164,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5164-641771.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+5165,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5165-894768.",insurance grounded-qa fine-tuning instruction bilingual,minimal,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+5166,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5166-219354.",insurance grounded-qa fine-tuning instruction bilingual,detailed,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+5167,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5167-404879.",insurance grounded-qa fine-tuning instruction bilingual,detailed,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+5168,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: platform engineer; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5168-981993.",insurance grounded-qa fine-tuning instruction bilingual,stylized,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+5169,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5169-976255.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+5170,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; 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: 5170-994733.",insurance grounded-qa fine-tuning instruction bilingual,minimal,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+5171,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5171-198696.",insurance grounded-qa fine-tuning instruction bilingual,clean,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+5172,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; 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: 5172-521852.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+5173,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5173-903459.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+5174,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: data scientist; Task: robustness-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5174-462725.",insurance grounded-qa fine-tuning instruction bilingual,stylized,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+5175,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5175-528099.",insurance grounded-qa fine-tuning instruction bilingual,minimal,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+5176,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: data scientist; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5176-741841.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+5177,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5177-451949.",insurance grounded-qa fine-tuning instruction bilingual,clean,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+5178,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5178-551442.",insurance grounded-qa fine-tuning instruction bilingual,detailed,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+5179,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5179-947885.",insurance grounded-qa fine-tuning instruction bilingual,detailed,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+5180,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; 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: 5180-798421.",insurance grounded-qa fine-tuning instruction bilingual,minimal,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+5181,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: data scientist; Task: benchmarking; Format: long-context; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5181-301752.",insurance grounded-qa fine-tuning instruction bilingual,stylized,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+5182,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5182-996034.",insurance grounded-qa fine-tuning instruction bilingual,detailed,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+5183,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5183-859973.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+5184,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5184-948774.",insurance grounded-qa fine-tuning instruction bilingual,minimal,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+5185,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; 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: 5185-572690.",insurance grounded-qa fine-tuning instruction bilingual,stylized,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+5186,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5186-440140.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+5187,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5187-259299.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+5188,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-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: 5188-349499.",insurance grounded-qa fine-tuning instruction bilingual,clean,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+5189,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5189-176343.",insurance grounded-qa fine-tuning instruction bilingual,detailed,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+5190,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; 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: 5190-332182.",insurance grounded-qa fine-tuning instruction bilingual,clean,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+5191,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5191-816380.",insurance grounded-qa fine-tuning instruction bilingual,detailed,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+5192,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; 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: 5192-805595.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+5193,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-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: 5193-564362.",insurance grounded-qa fine-tuning instruction bilingual,stylized,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+5194,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5194-796231.",insurance grounded-qa fine-tuning instruction bilingual,minimal,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+5195,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; 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: 5195-417182.",insurance grounded-qa fine-tuning instruction bilingual,stylized,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+5196,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ai researcher; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5196-426222.",insurance grounded-qa fine-tuning instruction bilingual,clean,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+5197,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: BILINGUAL; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5197-513239.",insurance grounded-qa fine-tuning instruction bilingual,clean,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+5198,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ai researcher; Task: quality-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5198-556024.",insurance grounded-qa fine-tuning instruction bilingual,minimal,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+5199,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5199-679872.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+5200,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; 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: 5200-161713.",insurance grounded-qa fine-tuning instruction bilingual,clean,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+5201,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5201-874089.",insurance grounded-qa fine-tuning instruction bilingual,stylized,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+5202,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5202-227355.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+5203,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5203-786446.",insurance grounded-qa fine-tuning instruction bilingual,stylized,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+5204,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5204-959742.",insurance grounded-qa fine-tuning instruction bilingual,clean,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+5205,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5205-827753.",insurance grounded-qa fine-tuning instruction bilingual,clean,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+5206,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5206-471183.",insurance grounded-qa fine-tuning instruction bilingual,stylized,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+5207,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5207-244285.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+5208,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5208-224067.",insurance grounded-qa fine-tuning instruction bilingual,stylized,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+5209,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: data scientist; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5209-536841.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+5210,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5210-963053.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+5211,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: BILINGUAL; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5211-988227.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+5212,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: BILINGUAL; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5212-389783.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+5213,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5213-172331.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+5214,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5214-482535.",insurance grounded-qa fine-tuning instruction bilingual,minimal,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+5215,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5215-711140.",insurance grounded-qa fine-tuning instruction bilingual,clean,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+5216,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5216-765535.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+5217,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: BILINGUAL; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5217-792405.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+5218,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5218-567606.",insurance grounded-qa fine-tuning instruction bilingual,clean,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+5219,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; 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: 5219-470909.",insurance grounded-qa fine-tuning instruction bilingual,detailed,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+5220,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: data scientist; Task: robustness-check; Format: long-context; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5220-220334.",insurance grounded-qa fine-tuning instruction bilingual,minimal,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+5221,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5221-672117.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+5222,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-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: 5222-871335.",insurance grounded-qa fine-tuning instruction bilingual,detailed,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+5223,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; 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: 5223-650457.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+5224,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5224-527441.",insurance grounded-qa fine-tuning instruction bilingual,detailed,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+5225,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: data scientist; Task: robustness-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5225-496146.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+5226,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5226-855335.",insurance grounded-qa fine-tuning instruction bilingual,stylized,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+5227,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-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: 5227-482397.",insurance grounded-qa fine-tuning instruction bilingual,minimal,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+5228,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ml engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5228-774309.",insurance grounded-qa fine-tuning instruction bilingual,minimal,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+5229,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5229-982849.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+5230,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5230-168441.",insurance grounded-qa fine-tuning instruction bilingual,detailed,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+5231,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5231-554662.",insurance grounded-qa fine-tuning instruction bilingual,minimal,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+5232,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5232-442772.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+5233,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ai researcher; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5233-234261.",insurance grounded-qa fine-tuning instruction bilingual,clean,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+5234,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; 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: 5234-629236.",insurance grounded-qa fine-tuning instruction bilingual,stylized,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+5235,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5235-911298.",insurance grounded-qa fine-tuning instruction bilingual,minimal,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+5236,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5236-369403.",insurance grounded-qa fine-tuning instruction bilingual,minimal,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+5237,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5237-933621.",insurance grounded-qa fine-tuning instruction bilingual,detailed,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+5238,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5238-519536.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+5239,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: data scientist; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5239-230734.",insurance grounded-qa fine-tuning instruction bilingual,detailed,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+5240,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5240-448923.",insurance grounded-qa fine-tuning instruction bilingual,clean,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+5241,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5241-302312.",insurance grounded-qa fine-tuning instruction bilingual,detailed,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+5242,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; 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: 5242-791577.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+5243,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5243-279183.",insurance grounded-qa fine-tuning instruction bilingual,clean,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+5244,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: platform engineer; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5244-136073.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+5245,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-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: 5245-854370.",insurance grounded-qa fine-tuning instruction bilingual,detailed,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+5246,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5246-310542.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+5247,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; 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: 5247-165483.",insurance grounded-qa fine-tuning instruction bilingual,stylized,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+5248,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5248-937716.",insurance grounded-qa fine-tuning instruction bilingual,detailed,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+5249,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; 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: 5249-129529.",insurance grounded-qa fine-tuning instruction bilingual,clean,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+5250,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; 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: 5250-653122.",insurance grounded-qa fine-tuning instruction bilingual,minimal,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+5251,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5251-961781.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+5252,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-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: 5252-387746.",insurance grounded-qa fine-tuning instruction bilingual,detailed,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+5253,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5253-222852.",insurance grounded-qa fine-tuning instruction bilingual,stylized,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+5254,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: data scientist; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5254-755568.",insurance grounded-qa fine-tuning instruction bilingual,stylized,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+5255,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5255-494213.",insurance grounded-qa fine-tuning instruction bilingual,detailed,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+5256,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5256-997945.",insurance grounded-qa fine-tuning instruction bilingual,detailed,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+5257,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5257-818629.",insurance grounded-qa fine-tuning instruction bilingual,clean,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+5258,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5258-926410.",insurance grounded-qa fine-tuning instruction bilingual,detailed,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+5259,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: platform engineer; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5259-728532.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+5260,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: data scientist; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5260-866608.",insurance grounded-qa fine-tuning instruction bilingual,detailed,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+5261,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: BILINGUAL; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5261-416632.",insurance grounded-qa fine-tuning instruction bilingual,stylized,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+5262,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5262-940812.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+5263,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: data scientist; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5263-653690.",insurance grounded-qa fine-tuning instruction bilingual,stylized,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+5264,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; 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: 5264-328301.",insurance grounded-qa fine-tuning instruction bilingual,clean,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+5265,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: BILINGUAL; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5265-367097.",insurance grounded-qa fine-tuning instruction bilingual,stylized,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+5266,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5266-279944.",insurance grounded-qa fine-tuning instruction bilingual,detailed,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+5267,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: data scientist; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5267-694871.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+5268,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5268-267618.",insurance grounded-qa fine-tuning instruction bilingual,stylized,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+5269,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-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: 5269-398704.",insurance grounded-qa fine-tuning instruction bilingual,clean,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+5270,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-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: 5270-302986.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+5271,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; 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: 5271-914927.",insurance grounded-qa fine-tuning instruction bilingual,clean,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+5272,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5272-813513.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+5273,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5273-862430.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+5274,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; 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: 5274-109329.",insurance grounded-qa fine-tuning instruction bilingual,minimal,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+5275,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: BILINGUAL; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5275-474675.",insurance grounded-qa fine-tuning instruction bilingual,stylized,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+5276,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: BILINGUAL; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5276-684470.",insurance grounded-qa fine-tuning instruction bilingual,stylized,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+5277,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5277-620802.",insurance grounded-qa fine-tuning instruction bilingual,minimal,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+5278,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5278-252394.",insurance grounded-qa fine-tuning instruction bilingual,stylized,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+5279,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5279-350931.",insurance grounded-qa fine-tuning instruction bilingual,stylized,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+5280,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5280-312794.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+5281,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5281-683608.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+5282,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: data scientist; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5282-480146.",insurance grounded-qa fine-tuning instruction bilingual,minimal,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+5283,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5283-917792.",insurance grounded-qa fine-tuning instruction bilingual,minimal,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+5284,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5284-277807.",insurance grounded-qa fine-tuning instruction bilingual,stylized,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+5285,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5285-236389.",insurance grounded-qa fine-tuning instruction bilingual,detailed,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+5286,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; 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: 5286-210345.",insurance grounded-qa fine-tuning instruction bilingual,minimal,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+5287,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5287-586440.",insurance grounded-qa fine-tuning instruction bilingual,stylized,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+5288,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ai researcher; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5288-443950.",insurance grounded-qa fine-tuning instruction bilingual,minimal,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+5289,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5289-662917.",insurance grounded-qa fine-tuning instruction bilingual,stylized,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+5290,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ai researcher; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5290-870572.",insurance grounded-qa fine-tuning instruction bilingual,detailed,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+5291,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5291-338007.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+5292,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5292-649843.",insurance grounded-qa fine-tuning instruction bilingual,minimal,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+5293,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5293-502219.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+5294,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5294-759029.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+5295,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5295-347122.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+5296,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5296-226411.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+5297,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: data scientist; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5297-863504.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+5298,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; 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: 5298-990365.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+5299,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5299-925918.",insurance grounded-qa fine-tuning instruction bilingual,detailed,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+5300,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-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: 5300-407166.",insurance grounded-qa fine-tuning instruction bilingual,detailed,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+5301,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5301-175397.",insurance grounded-qa fine-tuning instruction bilingual,stylized,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+5302,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5302-985419.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+5303,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; 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: 5303-891695.",insurance grounded-qa fine-tuning instruction bilingual,minimal,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+5304,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5304-694423.",insurance grounded-qa fine-tuning instruction bilingual,stylized,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+5305,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5305-347552.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+5306,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5306-560276.",insurance grounded-qa fine-tuning instruction bilingual,detailed,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+5307,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5307-557102.",insurance grounded-qa fine-tuning instruction bilingual,stylized,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+5308,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-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: 5308-519510.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+5309,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5309-486179.",insurance grounded-qa fine-tuning instruction bilingual,minimal,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+5310,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; 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: 5310-928821.",insurance grounded-qa fine-tuning instruction bilingual,clean,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+5311,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ai researcher; Task: quality-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5311-922289.",insurance grounded-qa fine-tuning instruction bilingual,clean,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+5312,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; 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: 5312-914793.",insurance grounded-qa fine-tuning instruction bilingual,minimal,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+5313,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5313-881219.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+5314,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; 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: 5314-386703.",insurance grounded-qa fine-tuning instruction bilingual,clean,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+5315,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5315-196953.",insurance grounded-qa fine-tuning instruction bilingual,clean,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+5316,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; 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: 5316-859029.",insurance grounded-qa fine-tuning instruction bilingual,clean,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+5317,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5317-924499.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+5318,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5318-509880.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+5319,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5319-150430.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+5320,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; 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: 5320-502411.",insurance grounded-qa fine-tuning instruction bilingual,clean,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+5321,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5321-511611.",insurance grounded-qa fine-tuning instruction bilingual,stylized,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+5322,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: platform engineer; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5322-850789.",insurance grounded-qa fine-tuning instruction bilingual,detailed,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+5323,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5323-690400.",insurance grounded-qa fine-tuning instruction bilingual,minimal,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+5324,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: BILINGUAL; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5324-204395.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+5325,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; 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: 5325-104267.",insurance grounded-qa fine-tuning instruction bilingual,minimal,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+5326,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ml engineer; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5326-571094.",insurance grounded-qa fine-tuning instruction bilingual,clean,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+5327,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5327-656767.",insurance grounded-qa fine-tuning instruction bilingual,clean,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+5328,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ml engineer; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5328-179157.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+5329,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5329-439427.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+5330,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; 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: 5330-853070.",insurance grounded-qa fine-tuning instruction bilingual,stylized,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+5331,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5331-758808.",insurance grounded-qa fine-tuning instruction bilingual,detailed,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+5332,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5332-914377.",insurance grounded-qa fine-tuning instruction bilingual,detailed,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+5333,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; 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: 5333-905371.",insurance grounded-qa fine-tuning instruction bilingual,detailed,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+5334,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: data scientist; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5334-678722.",insurance grounded-qa fine-tuning instruction bilingual,detailed,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+5335,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5335-907700.",insurance grounded-qa fine-tuning instruction bilingual,clean,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+5336,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5336-572645.",insurance grounded-qa fine-tuning instruction bilingual,stylized,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+5337,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5337-562528.",insurance grounded-qa fine-tuning instruction bilingual,stylized,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+5338,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5338-170040.",insurance grounded-qa fine-tuning instruction bilingual,minimal,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+5339,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5339-629605.",insurance grounded-qa fine-tuning instruction bilingual,minimal,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+5340,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: data scientist; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5340-262591.",insurance grounded-qa fine-tuning instruction bilingual,stylized,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+5341,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; 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: 5341-443060.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+5342,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5342-835490.",insurance grounded-qa fine-tuning instruction bilingual,minimal,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+5343,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5343-664820.",insurance grounded-qa fine-tuning instruction bilingual,detailed,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+5344,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5344-880531.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+5345,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; 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: 5345-392404.",insurance grounded-qa fine-tuning instruction bilingual,stylized,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+5346,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: platform engineer; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5346-895626.",insurance grounded-qa fine-tuning instruction bilingual,clean,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+5347,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: data scientist; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5347-256542.",insurance grounded-qa fine-tuning instruction bilingual,minimal,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+5348,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-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: 5348-985423.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+5349,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5349-203618.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+5350,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: platform engineer; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5350-604908.",insurance grounded-qa fine-tuning instruction bilingual,stylized,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+5351,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5351-965838.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+5352,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5352-312051.",insurance grounded-qa fine-tuning instruction bilingual,stylized,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+5353,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5353-784370.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+5354,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5354-399690.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+5355,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5355-509887.",insurance grounded-qa fine-tuning instruction bilingual,minimal,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+5356,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5356-781036.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+5357,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5357-438728.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+5358,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5358-118074.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+5359,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5359-930922.",insurance grounded-qa fine-tuning instruction bilingual,stylized,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+5360,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5360-131156.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+5361,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5361-617718.",insurance grounded-qa fine-tuning instruction bilingual,minimal,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+5362,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: BILINGUAL; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5362-114171.",insurance grounded-qa fine-tuning instruction bilingual,stylized,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+5363,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5363-215936.",insurance grounded-qa fine-tuning instruction bilingual,minimal,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+5364,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; 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: 5364-365518.",insurance grounded-qa fine-tuning instruction bilingual,minimal,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+5365,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; 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: 5365-440112.",insurance grounded-qa fine-tuning instruction bilingual,stylized,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+5366,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5366-498941.",insurance grounded-qa fine-tuning instruction bilingual,detailed,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+5367,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: data scientist; Task: quality-check; Format: long-context; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5367-420054.",insurance grounded-qa fine-tuning instruction bilingual,stylized,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+5368,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ml engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5368-661382.",insurance grounded-qa fine-tuning instruction bilingual,detailed,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+5369,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5369-286108.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+5370,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5370-574105.",insurance grounded-qa fine-tuning instruction bilingual,detailed,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+5371,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5371-508977.",insurance grounded-qa fine-tuning instruction bilingual,clean,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+5372,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5372-648772.",insurance grounded-qa fine-tuning instruction bilingual,minimal,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+5373,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: data scientist; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5373-865107.",insurance grounded-qa fine-tuning instruction bilingual,stylized,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+5374,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; 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: 5374-595709.",insurance grounded-qa fine-tuning instruction bilingual,minimal,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+5375,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5375-615243.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+5376,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; 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: 5376-660850.",insurance grounded-qa fine-tuning instruction bilingual,stylized,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+5377,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; 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: 5377-151121.",insurance grounded-qa fine-tuning instruction bilingual,minimal,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+5378,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-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: 5378-478264.",insurance grounded-qa fine-tuning instruction bilingual,minimal,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+5379,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: BILINGUAL; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5379-789948.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+5380,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5380-225457.",insurance grounded-qa fine-tuning instruction bilingual,clean,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+5381,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5381-551693.",insurance grounded-qa fine-tuning instruction bilingual,clean,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+5382,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ai researcher; Task: quality-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5382-135770.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+5383,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5383-769926.",insurance grounded-qa fine-tuning instruction bilingual,detailed,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+5384,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5384-377641.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+5385,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5385-559121.",insurance grounded-qa fine-tuning instruction bilingual,stylized,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+5386,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5386-418791.",insurance grounded-qa fine-tuning instruction bilingual,stylized,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+5387,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5387-508407.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+5388,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ml engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5388-977093.",insurance grounded-qa fine-tuning instruction bilingual,stylized,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+5389,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5389-397002.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+5390,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ai researcher; Task: quality-check; Format: long-context; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5390-734808.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+5391,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5391-139045.",insurance grounded-qa fine-tuning instruction bilingual,stylized,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+5392,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: data scientist; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5392-382964.",insurance grounded-qa fine-tuning instruction bilingual,stylized,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+5393,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5393-821017.",insurance grounded-qa fine-tuning instruction bilingual,clean,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+5394,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: data scientist; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5394-449754.",insurance grounded-qa fine-tuning instruction bilingual,minimal,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+5395,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5395-878935.",insurance grounded-qa fine-tuning instruction bilingual,minimal,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+5396,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5396-176271.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+5397,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5397-351664.",insurance grounded-qa fine-tuning instruction bilingual,detailed,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+5398,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5398-405013.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+5399,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ml engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5399-302043.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+5400,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5400-797002.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+5401,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: BILINGUAL; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5401-866071.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+5402,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5402-487225.",insurance grounded-qa fine-tuning instruction bilingual,detailed,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+5403,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5403-690611.",insurance grounded-qa fine-tuning instruction bilingual,detailed,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+5404,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5404-149316.",insurance grounded-qa fine-tuning instruction bilingual,stylized,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+5405,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5405-198470.",insurance grounded-qa fine-tuning instruction bilingual,stylized,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+5406,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5406-654490.",insurance grounded-qa fine-tuning instruction bilingual,minimal,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+5407,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; 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: 5407-959983.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+5408,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5408-818461.",insurance grounded-qa fine-tuning instruction bilingual,minimal,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+5409,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5409-671094.",insurance grounded-qa fine-tuning instruction bilingual,minimal,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+5410,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5410-992592.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+5411,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5411-241193.",insurance grounded-qa fine-tuning instruction bilingual,detailed,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+5412,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5412-501089.",insurance grounded-qa fine-tuning instruction bilingual,detailed,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+5413,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; 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: 5413-424407.",insurance grounded-qa fine-tuning instruction bilingual,detailed,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+5414,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ml engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5414-343919.",insurance grounded-qa fine-tuning instruction bilingual,detailed,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+5415,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5415-332185.",insurance grounded-qa fine-tuning instruction bilingual,stylized,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+5416,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; 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: 5416-723287.",insurance grounded-qa fine-tuning instruction bilingual,clean,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+5417,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5417-929964.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+5418,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: data scientist; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5418-679281.",insurance grounded-qa fine-tuning instruction bilingual,clean,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+5419,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5419-679555.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+5420,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5420-536508.",insurance grounded-qa fine-tuning instruction bilingual,stylized,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+5421,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5421-663041.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+5422,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-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: 5422-201966.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+5423,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5423-776433.",insurance grounded-qa fine-tuning instruction bilingual,stylized,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+5424,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5424-242509.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+5425,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: data scientist; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5425-333877.",insurance grounded-qa fine-tuning instruction bilingual,detailed,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+5426,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5426-850910.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+5427,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5427-713797.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+5428,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5428-302446.",insurance grounded-qa fine-tuning instruction bilingual,clean,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+5429,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: BILINGUAL; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5429-490219.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+5430,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; 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: 5430-251245.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+5431,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5431-937640.",insurance grounded-qa fine-tuning instruction bilingual,detailed,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+5432,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5432-129669.",insurance grounded-qa fine-tuning instruction bilingual,minimal,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+5433,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: data scientist; Task: grounding-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5433-502241.",insurance grounded-qa fine-tuning instruction bilingual,detailed,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+5434,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; 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: 5434-209562.",insurance grounded-qa fine-tuning instruction bilingual,stylized,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+5435,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ai researcher; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5435-803535.",insurance grounded-qa fine-tuning instruction bilingual,clean,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+5436,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ai researcher; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5436-904120.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+5437,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5437-387566.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+5438,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: data scientist; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5438-712883.",insurance grounded-qa fine-tuning instruction bilingual,minimal,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+5439,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5439-372747.",insurance grounded-qa fine-tuning instruction bilingual,detailed,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+5440,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5440-237603.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+5441,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5441-210224.",insurance grounded-qa fine-tuning instruction bilingual,clean,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+5442,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-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: 5442-304222.",insurance grounded-qa fine-tuning instruction bilingual,minimal,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+5443,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5443-558915.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+5444,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5444-946677.",insurance grounded-qa fine-tuning instruction bilingual,minimal,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+5445,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: data scientist; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5445-232925.",insurance grounded-qa fine-tuning instruction bilingual,detailed,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+5446,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; 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: 5446-172329.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+5447,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; 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: 5447-904121.",insurance grounded-qa fine-tuning instruction bilingual,detailed,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+5448,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5448-655508.",insurance grounded-qa fine-tuning instruction bilingual,detailed,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+5449,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5449-234192.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+5450,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-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: 5450-254762.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+5451,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; 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: 5451-703758.",insurance grounded-qa fine-tuning instruction bilingual,stylized,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+5452,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5452-975558.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+5453,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5453-655283.",insurance grounded-qa fine-tuning instruction bilingual,minimal,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+5454,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5454-504791.",insurance grounded-qa fine-tuning instruction bilingual,minimal,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+5455,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: platform engineer; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5455-489190.",insurance grounded-qa fine-tuning instruction bilingual,stylized,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+5456,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ai researcher; Task: quality-check; Format: long-context; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5456-785315.",insurance grounded-qa fine-tuning instruction bilingual,stylized,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+5457,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; 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: 5457-138575.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+5458,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5458-367076.",insurance grounded-qa fine-tuning instruction bilingual,detailed,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+5459,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5459-904925.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+5460,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5460-801728.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+5461,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; 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: 5461-187687.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+5462,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5462-991909.",insurance grounded-qa fine-tuning instruction bilingual,clean,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+5463,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5463-362490.",insurance grounded-qa fine-tuning instruction bilingual,detailed,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+5464,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; 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: 5464-898741.",insurance grounded-qa fine-tuning instruction bilingual,detailed,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+5465,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5465-459892.",insurance grounded-qa fine-tuning instruction bilingual,clean,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+5466,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5466-816635.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+5467,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5467-751121.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+5468,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5468-115629.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+5469,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5469-881636.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+5470,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5470-601105.",insurance grounded-qa fine-tuning instruction bilingual,stylized,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+5471,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: BILINGUAL; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5471-672317.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+5472,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5472-632062.",insurance grounded-qa fine-tuning instruction bilingual,clean,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+5473,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5473-995313.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+5474,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5474-883052.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+5475,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; 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: 5475-913899.",insurance grounded-qa fine-tuning instruction bilingual,clean,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+5476,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ai researcher; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5476-754415.",insurance grounded-qa fine-tuning instruction bilingual,detailed,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+5477,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5477-915587.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+5478,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; 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: 5478-183961.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+5479,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: BILINGUAL; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5479-274978.",insurance grounded-qa fine-tuning instruction bilingual,stylized,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+5480,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5480-330571.",insurance grounded-qa fine-tuning instruction bilingual,stylized,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+5481,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5481-686280.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+5482,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5482-181762.",insurance grounded-qa fine-tuning instruction bilingual,clean,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+5483,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5483-898110.",insurance grounded-qa fine-tuning instruction bilingual,stylized,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+5484,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5484-488498.",insurance grounded-qa fine-tuning instruction bilingual,clean,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+5485,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-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: 5485-195377.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+5486,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5486-991051.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+5487,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: platform engineer; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5487-198296.",insurance grounded-qa fine-tuning instruction bilingual,minimal,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+5488,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: data scientist; Task: quality-check; Format: long-context; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5488-295365.",insurance grounded-qa fine-tuning instruction bilingual,stylized,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+5489,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5489-591443.",insurance grounded-qa fine-tuning instruction bilingual,stylized,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+5490,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5490-655214.",insurance grounded-qa fine-tuning instruction bilingual,clean,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+5491,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5491-530301.",insurance grounded-qa fine-tuning instruction bilingual,detailed,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+5492,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: data scientist; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5492-704155.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+5493,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5493-330932.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+5494,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5494-338881.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+5495,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5495-557756.",insurance grounded-qa fine-tuning instruction bilingual,detailed,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+5496,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: data scientist; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5496-398427.",insurance grounded-qa fine-tuning instruction bilingual,stylized,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+5497,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: data scientist; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5497-236858.",insurance grounded-qa fine-tuning instruction bilingual,detailed,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+5498,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; 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: 5498-972731.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+5499,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5499-200825.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+5500,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5500-980365.",insurance grounded-qa fine-tuning instruction bilingual,detailed,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+5501,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: data scientist; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5501-118664.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+5502,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5502-816247.",insurance grounded-qa fine-tuning instruction bilingual,minimal,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+5503,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: data scientist; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5503-526015.",insurance grounded-qa fine-tuning instruction bilingual,clean,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+5504,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5504-124284.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+5505,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: data scientist; Task: grounding-check; Format: long-context; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5505-767413.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+5506,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5506-710368.",insurance grounded-qa fine-tuning instruction bilingual,stylized,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+5507,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5507-452606.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+5508,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: BILINGUAL; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5508-634591.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+5509,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: data scientist; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5509-465754.",insurance grounded-qa fine-tuning instruction bilingual,minimal,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+5510,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5510-966123.",insurance grounded-qa fine-tuning instruction bilingual,clean,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+5511,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5511-336678.",insurance grounded-qa fine-tuning instruction bilingual,detailed,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+5512,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5512-683040.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+5513,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5513-602432.",insurance grounded-qa fine-tuning instruction bilingual,minimal,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+5514,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; 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: 5514-939578.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+5515,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5515-718211.",insurance grounded-qa fine-tuning instruction bilingual,detailed,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+5516,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: data scientist; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5516-328613.",insurance grounded-qa fine-tuning instruction bilingual,stylized,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+5517,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; 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: 5517-278726.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+5518,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5518-534243.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+5519,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; 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: 5519-557699.",insurance grounded-qa fine-tuning instruction bilingual,detailed,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+5520,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5520-974059.",insurance grounded-qa fine-tuning instruction bilingual,clean,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+5521,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5521-226527.",insurance grounded-qa fine-tuning instruction bilingual,minimal,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+5522,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5522-920970.",insurance grounded-qa fine-tuning instruction bilingual,minimal,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+5523,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5523-345167.",insurance grounded-qa fine-tuning instruction bilingual,detailed,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+5524,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5524-669169.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+5525,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5525-622589.",insurance grounded-qa fine-tuning instruction bilingual,minimal,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+5526,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; 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: 5526-791968.",insurance grounded-qa fine-tuning instruction bilingual,clean,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+5527,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5527-622515.",insurance grounded-qa fine-tuning instruction bilingual,minimal,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+5528,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ai researcher; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5528-126091.",insurance grounded-qa fine-tuning instruction bilingual,stylized,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+5529,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; 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: 5529-252425.",insurance grounded-qa fine-tuning instruction bilingual,clean,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+5530,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5530-745499.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+5531,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5531-548639.",insurance grounded-qa fine-tuning instruction bilingual,minimal,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+5532,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: data scientist; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5532-180845.",insurance grounded-qa fine-tuning instruction bilingual,minimal,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+5533,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-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: 5533-665726.",insurance grounded-qa fine-tuning instruction bilingual,clean,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+5534,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5534-322957.",insurance grounded-qa fine-tuning instruction bilingual,detailed,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+5535,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5535-136902.",insurance grounded-qa fine-tuning instruction bilingual,clean,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+5536,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5536-770712.",insurance grounded-qa fine-tuning instruction bilingual,minimal,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+5537,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: BILINGUAL; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5537-861415.",insurance grounded-qa fine-tuning instruction bilingual,detailed,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+5538,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: data scientist; Task: quality-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5538-837112.",insurance grounded-qa fine-tuning instruction bilingual,detailed,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+5539,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5539-573025.",insurance grounded-qa fine-tuning instruction bilingual,detailed,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+5540,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-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: 5540-385199.",insurance grounded-qa fine-tuning instruction bilingual,detailed,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+5541,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5541-443104.",insurance grounded-qa fine-tuning instruction bilingual,minimal,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+5542,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5542-645514.",insurance grounded-qa fine-tuning instruction bilingual,minimal,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+5543,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5543-666816.",insurance grounded-qa fine-tuning instruction bilingual,stylized,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+5544,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: data scientist; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5544-227031.",insurance grounded-qa fine-tuning instruction bilingual,clean,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+5545,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5545-684563.",insurance grounded-qa fine-tuning instruction bilingual,clean,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+5546,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: BILINGUAL; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5546-565437.",insurance grounded-qa fine-tuning instruction bilingual,detailed,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+5547,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-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: 5547-540495.",insurance grounded-qa fine-tuning instruction bilingual,clean,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+5548,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; 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: 5548-921588.",insurance grounded-qa fine-tuning instruction bilingual,detailed,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+5549,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5549-471564.",insurance grounded-qa fine-tuning instruction bilingual,detailed,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+5550,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5550-590279.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+5551,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5551-379191.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+5552,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5552-834366.",insurance grounded-qa fine-tuning instruction bilingual,stylized,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+5553,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5553-994631.",insurance grounded-qa fine-tuning instruction bilingual,minimal,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+5554,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5554-556548.",insurance grounded-qa fine-tuning instruction bilingual,minimal,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+5555,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5555-593686.",insurance grounded-qa fine-tuning instruction bilingual,detailed,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+5556,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-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: 5556-254350.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+5557,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5557-477714.",insurance grounded-qa fine-tuning instruction bilingual,stylized,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+5558,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5558-144999.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+5559,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-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: 5559-406380.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+5560,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; 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: 5560-955905.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+5561,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5561-757515.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+5562,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5562-871947.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+5563,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; 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: 5563-469636.",insurance grounded-qa fine-tuning instruction bilingual,stylized,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+5564,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: data scientist; Task: quality-check; Format: long-context; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5564-983216.",insurance grounded-qa fine-tuning instruction bilingual,clean,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+5565,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5565-303210.",insurance grounded-qa fine-tuning instruction bilingual,minimal,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+5566,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: BILINGUAL; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5566-753249.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+5567,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: BILINGUAL; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5567-522266.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+5568,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; 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: 5568-267379.",insurance grounded-qa fine-tuning instruction bilingual,minimal,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+5569,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5569-999308.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+5570,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: data scientist; Task: robustness-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5570-886915.",insurance grounded-qa fine-tuning instruction bilingual,clean,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+5571,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; 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: 5571-271182.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+5572,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5572-156812.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+5573,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5573-516336.",insurance grounded-qa fine-tuning instruction bilingual,detailed,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+5574,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5574-582063.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+5575,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5575-740826.",insurance grounded-qa fine-tuning instruction bilingual,minimal,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+5576,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; 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: 5576-965915.",insurance grounded-qa fine-tuning instruction bilingual,minimal,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+5577,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5577-466591.",insurance grounded-qa fine-tuning instruction bilingual,minimal,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+5578,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5578-910265.",insurance grounded-qa fine-tuning instruction bilingual,detailed,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+5579,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: platform engineer; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5579-110784.",insurance grounded-qa fine-tuning instruction bilingual,stylized,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+5580,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5580-691900.",insurance grounded-qa fine-tuning instruction bilingual,stylized,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+5581,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5581-683419.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+5582,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5582-411738.",insurance grounded-qa fine-tuning instruction bilingual,detailed,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+5583,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5583-689090.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+5584,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5584-611220.",insurance grounded-qa fine-tuning instruction bilingual,minimal,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+5585,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5585-563186.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+5586,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5586-619418.",insurance grounded-qa fine-tuning instruction bilingual,detailed,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+5587,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5587-791091.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+5588,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5588-239271.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+5589,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; 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: 5589-495193.",insurance grounded-qa fine-tuning instruction bilingual,clean,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+5590,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; 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: 5590-661620.",insurance grounded-qa fine-tuning instruction bilingual,detailed,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+5591,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: data scientist; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5591-707751.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+5592,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5592-719567.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+5593,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: platform engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5593-776481.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+5594,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; 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: 5594-449603.",insurance grounded-qa fine-tuning instruction bilingual,clean,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+5595,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5595-283655.",insurance grounded-qa fine-tuning instruction bilingual,clean,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+5596,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5596-507589.",insurance grounded-qa fine-tuning instruction bilingual,stylized,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+5597,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ml engineer; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5597-893708.",insurance grounded-qa fine-tuning instruction bilingual,minimal,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+5598,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: data scientist; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5598-533568.",insurance grounded-qa fine-tuning instruction bilingual,clean,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+5599,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5599-920975.",insurance grounded-qa fine-tuning instruction bilingual,stylized,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+5600,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5600-357643.",insurance grounded-qa fine-tuning instruction bilingual,detailed,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+5601,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5601-287749.",insurance grounded-qa fine-tuning instruction bilingual,clean,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+5602,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: data scientist; Task: grounding-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5602-728025.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+5603,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5603-306319.",insurance grounded-qa fine-tuning instruction bilingual,clean,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+5604,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5604-598597.",insurance grounded-qa fine-tuning instruction bilingual,detailed,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+5605,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: data scientist; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5605-862205.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+5606,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: BILINGUAL; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5606-569234.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+5607,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5607-167879.",insurance grounded-qa fine-tuning instruction bilingual,stylized,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+5608,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: BILINGUAL; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5608-523263.",insurance grounded-qa fine-tuning instruction bilingual,detailed,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+5609,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; 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: 5609-480637.",insurance grounded-qa fine-tuning instruction bilingual,detailed,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+5610,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; 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: 5610-987985.",insurance grounded-qa fine-tuning instruction bilingual,detailed,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+5611,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5611-970746.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+5612,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5612-157397.",insurance grounded-qa fine-tuning instruction bilingual,detailed,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+5613,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5613-206972.",insurance grounded-qa fine-tuning instruction bilingual,clean,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+5614,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: BILINGUAL; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5614-736656.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+5615,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5615-140343.",insurance grounded-qa fine-tuning instruction bilingual,clean,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+5616,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5616-375032.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+5617,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; 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: 5617-517113.",insurance grounded-qa fine-tuning instruction bilingual,detailed,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+5618,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5618-562554.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+5619,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5619-577769.",insurance grounded-qa fine-tuning instruction bilingual,stylized,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+5620,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; 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: 5620-849989.",insurance grounded-qa fine-tuning instruction bilingual,clean,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+5621,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: data scientist; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5621-433061.",insurance grounded-qa fine-tuning instruction bilingual,detailed,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+5622,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-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: 5622-254687.",insurance grounded-qa fine-tuning instruction bilingual,stylized,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+5623,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ml engineer; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5623-957265.",insurance grounded-qa fine-tuning instruction bilingual,minimal,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+5624,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5624-569702.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+5625,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5625-317054.",insurance grounded-qa fine-tuning instruction bilingual,stylized,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+5626,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5626-918242.",insurance grounded-qa fine-tuning instruction bilingual,clean,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+5627,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5627-303070.",insurance grounded-qa fine-tuning instruction bilingual,stylized,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+5628,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5628-269767.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+5629,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5629-452885.",insurance grounded-qa fine-tuning instruction bilingual,minimal,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+5630,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: data scientist; Task: quality-check; Format: long-context; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5630-110972.",insurance grounded-qa fine-tuning instruction bilingual,detailed,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+5631,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5631-443662.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+5632,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: data scientist; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5632-708988.",insurance grounded-qa fine-tuning instruction bilingual,detailed,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+5633,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-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: 5633-759530.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+5634,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5634-142451.",insurance grounded-qa fine-tuning instruction bilingual,detailed,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+5635,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ai researcher; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5635-573472.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+5636,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: data scientist; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5636-710615.",insurance grounded-qa fine-tuning instruction bilingual,detailed,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+5637,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; 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: 5637-709535.",insurance grounded-qa fine-tuning instruction bilingual,stylized,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+5638,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5638-420669.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+5639,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5639-989051.",insurance grounded-qa fine-tuning instruction bilingual,minimal,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+5640,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5640-764991.",insurance grounded-qa fine-tuning instruction bilingual,clean,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+5641,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5641-838467.",insurance grounded-qa fine-tuning instruction bilingual,minimal,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+5642,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: data scientist; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5642-232839.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+5643,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: BILINGUAL; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5643-437682.",insurance grounded-qa fine-tuning instruction bilingual,clean,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+5644,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: data scientist; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5644-922644.",insurance grounded-qa fine-tuning instruction bilingual,clean,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+5645,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5645-371896.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+5646,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5646-284871.",insurance grounded-qa fine-tuning instruction bilingual,detailed,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+5647,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5647-246196.",insurance grounded-qa fine-tuning instruction bilingual,detailed,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+5648,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5648-908651.",insurance grounded-qa fine-tuning instruction bilingual,stylized,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+5649,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5649-632396.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+5650,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ai researcher; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5650-354242.",insurance grounded-qa fine-tuning instruction bilingual,detailed,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+5651,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: data scientist; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5651-591180.",insurance grounded-qa fine-tuning instruction bilingual,stylized,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+5652,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5652-547945.",insurance grounded-qa fine-tuning instruction bilingual,detailed,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+5653,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5653-721541.",insurance grounded-qa fine-tuning instruction bilingual,stylized,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+5654,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5654-133523.",insurance grounded-qa fine-tuning instruction bilingual,stylized,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+5655,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-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: 5655-560174.",insurance grounded-qa fine-tuning instruction bilingual,minimal,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+5656,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ai researcher; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5656-983492.",insurance grounded-qa fine-tuning instruction bilingual,minimal,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+5657,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; 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: 5657-630070.",insurance grounded-qa fine-tuning instruction bilingual,minimal,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+5658,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: data scientist; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5658-203772.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+5659,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5659-626060.",insurance grounded-qa fine-tuning instruction bilingual,detailed,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+5660,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5660-799622.",insurance grounded-qa fine-tuning instruction bilingual,detailed,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+5661,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5661-637578.",insurance grounded-qa fine-tuning instruction bilingual,minimal,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+5662,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ai researcher; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5662-533487.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+5663,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5663-240199.",insurance grounded-qa fine-tuning instruction bilingual,detailed,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+5664,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5664-887349.",insurance grounded-qa fine-tuning instruction bilingual,clean,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+5665,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5665-441893.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+5666,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: BILINGUAL; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5666-664510.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+5667,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5667-534127.",insurance grounded-qa fine-tuning instruction bilingual,clean,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+5668,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5668-228478.",insurance grounded-qa fine-tuning instruction bilingual,detailed,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+5669,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5669-237026.",insurance grounded-qa fine-tuning instruction bilingual,stylized,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+5670,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: BILINGUAL; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5670-266343.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+5671,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; 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: 5671-100523.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+5672,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ai researcher; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5672-264083.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+5673,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; 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: 5673-127910.",insurance grounded-qa fine-tuning instruction bilingual,detailed,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+5674,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; 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: 5674-241559.",insurance grounded-qa fine-tuning instruction bilingual,clean,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+5675,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: BILINGUAL; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5675-729844.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+5676,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5676-342376.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+5677,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5677-530996.",insurance grounded-qa fine-tuning instruction bilingual,stylized,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+5678,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5678-897620.",insurance grounded-qa fine-tuning instruction bilingual,minimal,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+5679,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5679-153622.",insurance grounded-qa fine-tuning instruction bilingual,minimal,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+5680,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5680-889303.",insurance grounded-qa fine-tuning instruction bilingual,stylized,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+5681,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5681-283145.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+5682,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: BILINGUAL; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5682-812049.",insurance grounded-qa fine-tuning instruction bilingual,minimal,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+5683,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-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: 5683-511655.",insurance grounded-qa fine-tuning instruction bilingual,clean,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+5684,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: data scientist; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5684-335479.",insurance grounded-qa fine-tuning instruction bilingual,detailed,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+5685,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5685-746964.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+5686,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5686-751850.",insurance grounded-qa fine-tuning instruction bilingual,minimal,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+5687,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5687-361471.",insurance grounded-qa fine-tuning instruction bilingual,detailed,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+5688,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: platform engineer; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5688-114710.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+5689,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: BILINGUAL; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5689-381674.",insurance grounded-qa fine-tuning instruction bilingual,detailed,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+5690,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5690-611477.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+5691,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5691-688459.",insurance grounded-qa fine-tuning instruction bilingual,detailed,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+5692,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5692-822182.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+5693,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5693-227283.",insurance grounded-qa fine-tuning instruction bilingual,clean,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+5694,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; 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: 5694-842178.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+5695,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5695-689412.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+5696,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5696-158426.",insurance grounded-qa fine-tuning instruction bilingual,stylized,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+5697,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5697-369905.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+5698,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5698-963791.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+5699,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5699-970500.",insurance grounded-qa fine-tuning instruction bilingual,detailed,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+5700,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5700-658763.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+5701,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5701-847607.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+5702,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5702-805367.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+5703,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5703-669633.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+5704,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5704-613801.",insurance grounded-qa fine-tuning instruction bilingual,detailed,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+5705,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5705-114943.",insurance grounded-qa fine-tuning instruction bilingual,stylized,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+5706,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5706-342638.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+5707,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5707-785430.",insurance grounded-qa fine-tuning instruction bilingual,stylized,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+5708,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5708-171839.",insurance grounded-qa fine-tuning instruction bilingual,minimal,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+5709,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5709-670926.",insurance grounded-qa fine-tuning instruction bilingual,stylized,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+5710,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5710-686291.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+5711,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5711-197375.",insurance grounded-qa fine-tuning instruction bilingual,minimal,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+5712,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: data scientist; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5712-575754.",insurance grounded-qa fine-tuning instruction bilingual,detailed,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+5713,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: BILINGUAL; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5713-469450.",insurance grounded-qa fine-tuning instruction bilingual,stylized,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+5714,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: BILINGUAL; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5714-100513.",insurance grounded-qa fine-tuning instruction bilingual,minimal,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+5715,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5715-489847.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+5716,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: data scientist; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5716-196175.",insurance grounded-qa fine-tuning instruction bilingual,clean,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+5717,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5717-994177.",insurance grounded-qa fine-tuning instruction bilingual,detailed,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+5718,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5718-455698.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+5719,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5719-956998.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+5720,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; 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: 5720-825988.",insurance grounded-qa fine-tuning instruction bilingual,clean,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+5721,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5721-865851.",insurance grounded-qa fine-tuning instruction bilingual,minimal,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+5722,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5722-504486.",insurance grounded-qa fine-tuning instruction bilingual,stylized,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+5723,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: BILINGUAL; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5723-959304.",insurance grounded-qa fine-tuning instruction bilingual,clean,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+5724,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: platform engineer; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5724-638474.",insurance grounded-qa fine-tuning instruction bilingual,clean,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+5725,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5725-103779.",insurance grounded-qa fine-tuning instruction bilingual,detailed,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+5726,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: BILINGUAL; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5726-109385.",insurance grounded-qa fine-tuning instruction bilingual,detailed,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+5727,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5727-777053.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+5728,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5728-426650.",insurance grounded-qa fine-tuning instruction bilingual,minimal,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+5729,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: data scientist; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5729-297430.",insurance grounded-qa fine-tuning instruction bilingual,detailed,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+5730,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: data scientist; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5730-550867.",insurance grounded-qa fine-tuning instruction bilingual,minimal,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+5731,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5731-920943.",insurance grounded-qa fine-tuning instruction bilingual,clean,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+5732,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5732-219706.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+5733,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5733-229484.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+5734,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: BILINGUAL; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5734-865528.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+5735,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5735-395877.",insurance grounded-qa fine-tuning instruction bilingual,detailed,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+5736,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ai researcher; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5736-164276.",insurance grounded-qa fine-tuning instruction bilingual,minimal,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+5737,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5737-281772.",insurance grounded-qa fine-tuning instruction bilingual,clean,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+5738,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5738-805411.",insurance grounded-qa fine-tuning instruction bilingual,minimal,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+5739,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5739-550161.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+5740,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5740-924711.",insurance grounded-qa fine-tuning instruction bilingual,detailed,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+5741,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5741-970646.",insurance grounded-qa fine-tuning instruction bilingual,detailed,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+5742,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5742-861528.",insurance grounded-qa fine-tuning instruction bilingual,minimal,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+5743,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: BILINGUAL; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5743-371089.",insurance grounded-qa fine-tuning instruction bilingual,minimal,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+5744,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5744-944393.",insurance grounded-qa fine-tuning instruction bilingual,minimal,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+5745,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5745-832078.",insurance grounded-qa fine-tuning instruction bilingual,minimal,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+5746,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5746-965649.",insurance grounded-qa fine-tuning instruction bilingual,detailed,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+5747,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5747-553933.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+5748,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ai researcher; Task: quality-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5748-281254.",insurance grounded-qa fine-tuning instruction bilingual,stylized,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+5749,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5749-835701.",insurance grounded-qa fine-tuning instruction bilingual,detailed,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+5750,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5750-448891.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+5751,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; 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: 5751-267946.",insurance grounded-qa fine-tuning instruction bilingual,clean,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+5752,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: BILINGUAL; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5752-777915.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+5753,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5753-644165.",insurance grounded-qa fine-tuning instruction bilingual,minimal,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+5754,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; 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: 5754-400240.",insurance grounded-qa fine-tuning instruction bilingual,stylized,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+5755,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: data scientist; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5755-843848.",insurance grounded-qa fine-tuning instruction bilingual,minimal,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+5756,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5756-163282.",insurance grounded-qa fine-tuning instruction bilingual,minimal,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+5757,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5757-447161.",insurance grounded-qa fine-tuning instruction bilingual,minimal,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+5758,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5758-897733.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+5759,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: data scientist; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5759-621314.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+5760,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5760-854176.",insurance grounded-qa fine-tuning instruction bilingual,stylized,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+5761,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; 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: 5761-235296.",insurance grounded-qa fine-tuning instruction bilingual,stylized,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+5762,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ai researcher; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5762-271939.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+5763,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; 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: 5763-464148.",insurance grounded-qa fine-tuning instruction bilingual,clean,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+5764,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: data scientist; Task: benchmarking; Format: long-context; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5764-473902.",insurance grounded-qa fine-tuning instruction bilingual,clean,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+5765,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; 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: 5765-402571.",insurance grounded-qa fine-tuning instruction bilingual,detailed,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+5766,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5766-218683.",insurance grounded-qa fine-tuning instruction bilingual,detailed,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+5767,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-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: 5767-528418.",insurance grounded-qa fine-tuning instruction bilingual,minimal,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+5768,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5768-681626.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+5769,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ml engineer; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5769-277844.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+5770,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5770-395936.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+5771,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5771-452323.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+5772,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5772-356059.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+5773,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ai researcher; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5773-115488.",insurance grounded-qa fine-tuning instruction bilingual,minimal,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+5774,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: data scientist; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5774-230953.",insurance grounded-qa fine-tuning instruction bilingual,detailed,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+5775,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5775-825725.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+5776,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5776-796569.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+5777,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5777-780738.",insurance grounded-qa fine-tuning instruction bilingual,stylized,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+5778,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5778-617276.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+5779,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5779-798698.",insurance grounded-qa fine-tuning instruction bilingual,stylized,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+5780,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5780-976448.",insurance grounded-qa fine-tuning instruction bilingual,minimal,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+5781,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5781-980400.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+5782,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; 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: 5782-244775.",insurance grounded-qa fine-tuning instruction bilingual,stylized,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+5783,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5783-316288.",insurance grounded-qa fine-tuning instruction bilingual,detailed,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+5784,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5784-902350.",insurance grounded-qa fine-tuning instruction bilingual,minimal,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+5785,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; 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: 5785-158551.",insurance grounded-qa fine-tuning instruction bilingual,detailed,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+5786,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: platform engineer; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5786-609464.",insurance grounded-qa fine-tuning instruction bilingual,detailed,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+5787,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5787-437127.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+5788,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: BILINGUAL; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5788-266933.",insurance grounded-qa fine-tuning instruction bilingual,clean,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+5789,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: BILINGUAL; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5789-806521.",insurance grounded-qa fine-tuning instruction bilingual,minimal,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+5790,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5790-700909.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+5791,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-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: 5791-563330.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+5792,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: data scientist; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5792-960145.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+5793,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: data scientist; Task: benchmarking; Format: long-context; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5793-866788.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+5794,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5794-154243.",insurance grounded-qa fine-tuning instruction bilingual,minimal,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+5795,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5795-447783.",insurance grounded-qa fine-tuning instruction bilingual,minimal,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+5796,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: BILINGUAL; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5796-601420.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+5797,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5797-337725.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+5798,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5798-921209.",insurance grounded-qa fine-tuning instruction bilingual,stylized,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+5799,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5799-704673.",insurance grounded-qa fine-tuning instruction bilingual,stylized,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+5800,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5800-448375.",insurance grounded-qa fine-tuning instruction bilingual,stylized,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+5801,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5801-140943.",insurance grounded-qa fine-tuning instruction bilingual,stylized,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+5802,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-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: 5802-534007.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+5803,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5803-309551.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+5804,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5804-721253.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+5805,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5805-348025.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+5806,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ml engineer; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5806-126395.",insurance grounded-qa fine-tuning instruction bilingual,detailed,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+5807,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5807-375597.",insurance grounded-qa fine-tuning instruction bilingual,stylized,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+5808,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5808-840977.",insurance grounded-qa fine-tuning instruction bilingual,clean,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+5809,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; 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: 5809-222987.",insurance grounded-qa fine-tuning instruction bilingual,clean,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+5810,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5810-820947.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+5811,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: data scientist; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5811-357665.",insurance grounded-qa fine-tuning instruction bilingual,minimal,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+5812,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5812-505163.",insurance grounded-qa fine-tuning instruction bilingual,detailed,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+5813,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: BILINGUAL; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5813-146540.",insurance grounded-qa fine-tuning instruction bilingual,stylized,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+5814,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ml engineer; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5814-812582.",insurance grounded-qa fine-tuning instruction bilingual,clean,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+5815,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: BILINGUAL; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5815-202771.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+5816,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5816-795854.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+5817,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5817-846215.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+5818,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-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: 5818-487616.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+5819,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5819-731265.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+5820,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5820-517886.",insurance grounded-qa fine-tuning instruction bilingual,stylized,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+5821,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5821-295758.",insurance grounded-qa fine-tuning instruction bilingual,detailed,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+5822,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5822-384597.",insurance grounded-qa fine-tuning instruction bilingual,detailed,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+5823,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5823-127929.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+5824,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5824-350939.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+5825,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5825-337289.",insurance grounded-qa fine-tuning instruction bilingual,minimal,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+5826,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ai researcher; Task: quality-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5826-508216.",insurance grounded-qa fine-tuning instruction bilingual,clean,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+5827,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5827-457866.",insurance grounded-qa fine-tuning instruction bilingual,stylized,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+5828,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-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: 5828-799044.",insurance grounded-qa fine-tuning instruction bilingual,detailed,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+5829,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5829-999829.",insurance grounded-qa fine-tuning instruction bilingual,stylized,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+5830,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5830-333206.",insurance grounded-qa fine-tuning instruction bilingual,minimal,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+5831,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-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: 5831-100412.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+5832,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5832-332707.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+5833,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: data scientist; Task: grounding-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5833-596017.",insurance grounded-qa fine-tuning instruction bilingual,detailed,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+5834,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5834-590806.",insurance grounded-qa fine-tuning instruction bilingual,minimal,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+5835,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5835-642474.",insurance grounded-qa fine-tuning instruction bilingual,clean,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+5836,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5836-478039.",insurance grounded-qa fine-tuning instruction bilingual,detailed,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+5837,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: data scientist; Task: robustness-check; Format: long-context; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5837-320134.",insurance grounded-qa fine-tuning instruction bilingual,minimal,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+5838,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5838-799919.",insurance grounded-qa fine-tuning instruction bilingual,clean,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+5839,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: data scientist; Task: grounding-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5839-530407.",insurance grounded-qa fine-tuning instruction bilingual,detailed,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+5840,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5840-949307.",insurance grounded-qa fine-tuning instruction bilingual,stylized,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+5841,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5841-925239.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+5842,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5842-880993.",insurance grounded-qa fine-tuning instruction bilingual,clean,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+5843,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5843-483918.",insurance grounded-qa fine-tuning instruction bilingual,detailed,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+5844,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: data scientist; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5844-352107.",insurance grounded-qa fine-tuning instruction bilingual,minimal,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+5845,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5845-607148.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+5846,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5846-839406.",insurance grounded-qa fine-tuning instruction bilingual,clean,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+5847,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-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: 5847-258144.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+5848,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5848-645043.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+5849,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: data scientist; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5849-396569.",insurance grounded-qa fine-tuning instruction bilingual,clean,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+5850,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5850-801643.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+5851,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5851-436020.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+5852,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5852-613338.",insurance grounded-qa fine-tuning instruction bilingual,clean,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+5853,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5853-577135.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+5854,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5854-993096.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+5855,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5855-404273.",insurance grounded-qa fine-tuning instruction bilingual,minimal,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+5856,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5856-949973.",insurance grounded-qa fine-tuning instruction bilingual,stylized,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+5857,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5857-815613.",insurance grounded-qa fine-tuning instruction bilingual,clean,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+5858,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: data scientist; Task: robustness-check; Format: long-context; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5858-819492.",insurance grounded-qa fine-tuning instruction bilingual,clean,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+5859,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; 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: 5859-218049.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+5860,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; 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: 5860-940153.",insurance grounded-qa fine-tuning instruction bilingual,stylized,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+5861,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-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: 5861-802847.",insurance grounded-qa fine-tuning instruction bilingual,detailed,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+5862,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: BILINGUAL; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5862-314294.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+5863,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5863-113440.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+5864,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: data scientist; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5864-338931.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+5865,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; 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: 5865-626445.",insurance grounded-qa fine-tuning instruction bilingual,minimal,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+5866,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: platform engineer; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5866-497606.",insurance grounded-qa fine-tuning instruction bilingual,stylized,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+5867,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5867-321658.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+5868,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5868-994226.",insurance grounded-qa fine-tuning instruction bilingual,clean,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+5869,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5869-196774.",insurance grounded-qa fine-tuning instruction bilingual,clean,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+5870,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: data scientist; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5870-735734.",insurance grounded-qa fine-tuning instruction bilingual,clean,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+5871,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5871-568873.",insurance grounded-qa fine-tuning instruction bilingual,clean,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+5872,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: data scientist; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5872-527966.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+5873,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5873-919104.",insurance grounded-qa fine-tuning instruction bilingual,detailed,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+5874,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: data scientist; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5874-126598.",insurance grounded-qa fine-tuning instruction bilingual,detailed,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+5875,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5875-134655.",insurance grounded-qa fine-tuning instruction bilingual,minimal,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+5876,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5876-166061.",insurance grounded-qa fine-tuning instruction bilingual,minimal,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+5877,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: data scientist; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5877-175282.",insurance grounded-qa fine-tuning instruction bilingual,minimal,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+5878,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5878-978529.",insurance grounded-qa fine-tuning instruction bilingual,minimal,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+5879,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5879-759364.",insurance grounded-qa fine-tuning instruction bilingual,clean,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+5880,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5880-924678.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+5881,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5881-965938.",insurance grounded-qa fine-tuning instruction bilingual,stylized,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+5882,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5882-450053.",insurance grounded-qa fine-tuning instruction bilingual,minimal,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+5883,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5883-728002.",insurance grounded-qa fine-tuning instruction bilingual,stylized,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+5884,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5884-955192.",insurance grounded-qa fine-tuning instruction bilingual,clean,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+5885,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5885-798714.",insurance grounded-qa fine-tuning instruction bilingual,minimal,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+5886,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ai researcher; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5886-316355.",insurance grounded-qa fine-tuning instruction bilingual,stylized,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+5887,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5887-227731.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+5888,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: BILINGUAL; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5888-428836.",insurance grounded-qa fine-tuning instruction bilingual,stylized,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+5889,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5889-727732.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+5890,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5890-585713.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+5891,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5891-733263.",insurance grounded-qa fine-tuning instruction bilingual,stylized,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+5892,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5892-994733.",insurance grounded-qa fine-tuning instruction bilingual,stylized,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+5893,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5893-409414.",insurance grounded-qa fine-tuning instruction bilingual,minimal,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+5894,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; 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: 5894-932199.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+5895,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; 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: 5895-509102.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+5896,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: BILINGUAL; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5896-751668.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+5897,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5897-473240.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+5898,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-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: 5898-912724.",insurance grounded-qa fine-tuning instruction bilingual,clean,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+5899,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5899-679546.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+5900,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ai researcher; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5900-405114.",insurance grounded-qa fine-tuning instruction bilingual,clean,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+5901,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5901-623050.",insurance grounded-qa fine-tuning instruction bilingual,detailed,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+5902,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: BILINGUAL; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5902-840302.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+5903,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5903-749527.",insurance grounded-qa fine-tuning instruction bilingual,minimal,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+5904,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5904-889921.",insurance grounded-qa fine-tuning instruction bilingual,detailed,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+5905,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; 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: 5905-141013.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+5906,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5906-562555.",insurance grounded-qa fine-tuning instruction bilingual,detailed,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+5907,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; 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: 5907-682134.",insurance grounded-qa fine-tuning instruction bilingual,minimal,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+5908,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5908-528599.",insurance grounded-qa fine-tuning instruction bilingual,detailed,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+5909,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5909-712112.",insurance grounded-qa fine-tuning instruction bilingual,detailed,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+5910,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5910-860473.",insurance grounded-qa fine-tuning instruction bilingual,clean,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+5911,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: BILINGUAL; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5911-222133.",insurance grounded-qa fine-tuning instruction bilingual,stylized,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+5912,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5912-625541.",insurance grounded-qa fine-tuning instruction bilingual,minimal,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+5913,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5913-440158.",insurance grounded-qa fine-tuning instruction bilingual,detailed,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+5914,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5914-728933.",insurance grounded-qa fine-tuning instruction bilingual,stylized,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+5915,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5915-924546.",insurance grounded-qa fine-tuning instruction bilingual,clean,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+5916,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: data scientist; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5916-856977.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+5917,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; 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: 5917-210535.",insurance grounded-qa fine-tuning instruction bilingual,detailed,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+5918,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5918-514816.",insurance grounded-qa fine-tuning instruction bilingual,clean,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+5919,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; 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: 5919-592655.",insurance grounded-qa fine-tuning instruction bilingual,minimal,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+5920,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: data scientist; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5920-801736.",insurance grounded-qa fine-tuning instruction bilingual,stylized,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+5921,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5921-210027.",insurance grounded-qa fine-tuning instruction bilingual,stylized,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+5922,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: data scientist; Task: benchmarking; Format: long-context; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5922-786415.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+5923,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5923-471939.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+5924,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5924-508182.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+5925,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5925-253202.",insurance grounded-qa fine-tuning instruction bilingual,minimal,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+5926,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5926-562240.",insurance grounded-qa fine-tuning instruction bilingual,minimal,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+5927,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5927-371392.",insurance grounded-qa fine-tuning instruction bilingual,minimal,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+5928,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5928-621318.",insurance grounded-qa fine-tuning instruction bilingual,stylized,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+5929,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5929-305368.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+5930,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5930-811027.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+5931,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5931-709752.",insurance grounded-qa fine-tuning instruction bilingual,clean,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+5932,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: data scientist; Task: benchmarking; Format: long-context; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5932-672933.",insurance grounded-qa fine-tuning instruction bilingual,detailed,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+5933,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5933-325979.",insurance grounded-qa fine-tuning instruction bilingual,detailed,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+5934,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5934-603874.",insurance grounded-qa fine-tuning instruction bilingual,stylized,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+5935,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: data scientist; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5935-735178.",insurance grounded-qa fine-tuning instruction bilingual,clean,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+5936,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; 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: 5936-303290.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+5937,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5937-533855.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+5938,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: BILINGUAL; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5938-515568.",insurance grounded-qa fine-tuning instruction bilingual,minimal,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+5939,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5939-195005.",insurance grounded-qa fine-tuning instruction bilingual,minimal,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+5940,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5940-194518.",insurance grounded-qa fine-tuning instruction bilingual,minimal,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+5941,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5941-194026.",insurance grounded-qa fine-tuning instruction bilingual,detailed,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+5942,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: data scientist; Task: robustness-check; Format: long-context; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5942-605242.",insurance grounded-qa fine-tuning instruction bilingual,minimal,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+5943,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: data scientist; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5943-842517.",insurance grounded-qa fine-tuning instruction bilingual,detailed,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+5944,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; 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: 5944-273330.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+5945,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT-BR; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5945-571074.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+5946,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; 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: 5946-961298.",insurance grounded-qa fine-tuning instruction bilingual,detailed,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+5947,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5947-960774.",insurance grounded-qa fine-tuning instruction bilingual,stylized,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+5948,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5948-475190.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+5949,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-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: 5949-401598.",insurance grounded-qa fine-tuning instruction bilingual,clean,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+5950,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5950-544247.",insurance grounded-qa fine-tuning instruction bilingual,stylized,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+5951,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5951-232704.",insurance grounded-qa fine-tuning instruction bilingual,detailed,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+5952,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: data scientist; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5952-431927.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+5953,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: data scientist; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5953-109137.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+5954,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: data scientist; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5954-620242.",insurance grounded-qa fine-tuning instruction bilingual,stylized,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+5955,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5955-524093.",insurance grounded-qa fine-tuning instruction bilingual,detailed,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+5956,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5956-286160.",insurance grounded-qa fine-tuning instruction bilingual,detailed,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+5957,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5957-633567.",insurance grounded-qa fine-tuning instruction bilingual,clean,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+5958,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-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: 5958-940578.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+5959,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5959-770063.",insurance grounded-qa fine-tuning instruction bilingual,detailed,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+5960,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5960-489537.",insurance grounded-qa fine-tuning instruction bilingual,stylized,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+5961,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5961-787400.",insurance grounded-qa fine-tuning instruction bilingual,stylized,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+5962,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5962-515074.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+5963,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5963-855105.",insurance grounded-qa fine-tuning instruction bilingual,stylized,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+5964,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: platform engineer; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5964-246063.",insurance grounded-qa fine-tuning instruction bilingual,detailed,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+5965,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5965-695905.",insurance grounded-qa fine-tuning instruction bilingual,minimal,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+5966,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5966-754277.",insurance grounded-qa fine-tuning instruction bilingual,stylized,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+5967,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: data scientist; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5967-167026.",insurance grounded-qa fine-tuning instruction bilingual,stylized,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+5968,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: data scientist; Task: robustness-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5968-930424.",insurance grounded-qa fine-tuning instruction bilingual,minimal,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+5969,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5969-393552.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+5970,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; 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: 5970-712118.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+5971,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5971-244916.",insurance grounded-qa fine-tuning instruction bilingual,detailed,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+5972,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; 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: 5972-263769.",insurance grounded-qa fine-tuning instruction bilingual,detailed,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+5973,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5973-309381.",insurance grounded-qa fine-tuning instruction bilingual,stylized,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+5974,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5974-235736.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+5975,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-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: 5975-579659.",insurance grounded-qa fine-tuning instruction bilingual,stylized,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+5976,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5976-688889.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+5977,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5977-502684.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+5978,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5978-370845.",insurance grounded-qa fine-tuning instruction bilingual,stylized,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+5979,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ml engineer; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5979-118309.",insurance grounded-qa fine-tuning instruction bilingual,clean,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+5980,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5980-624362.",insurance grounded-qa fine-tuning instruction bilingual,stylized,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+5981,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: data scientist; Task: benchmarking; Format: long-context; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5981-516647.",insurance grounded-qa fine-tuning instruction bilingual,clean,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+5982,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5982-499571.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+5983,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: BILINGUAL; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5983-802038.",insurance grounded-qa fine-tuning instruction bilingual,minimal,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+5984,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; 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: 5984-204227.",insurance grounded-qa fine-tuning instruction bilingual,minimal,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+5985,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5985-144131.",insurance grounded-qa fine-tuning instruction bilingual,detailed,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+5986,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5986-795063.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+5987,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5987-603754.",insurance grounded-qa fine-tuning instruction bilingual,detailed,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+5988,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5988-651280.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+5989,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5989-972078.",insurance grounded-qa fine-tuning instruction bilingual,stylized,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+5990,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ai researcher; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5990-301617.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+5991,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: data scientist; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5991-376641.",insurance grounded-qa fine-tuning instruction bilingual,minimal,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+5992,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: data scientist; Task: grounding-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5992-139939.",insurance grounded-qa fine-tuning instruction bilingual,stylized,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+5993,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5993-880550.",insurance grounded-qa fine-tuning instruction bilingual,clean,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+5994,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5994-710620.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+5995,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5995-488452.",insurance grounded-qa fine-tuning instruction bilingual,stylized,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+5996,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5996-733911.",insurance grounded-qa fine-tuning instruction bilingual,minimal,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+5997,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5997-605160.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+5998,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5998-129751.",insurance grounded-qa fine-tuning instruction bilingual,stylized,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+5999,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5999-998298.",insurance grounded-qa fine-tuning instruction bilingual,minimal,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+6000,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: data scientist; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6000-570202.",insurance grounded-qa fine-tuning instruction bilingual,clean,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+6001,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6001-342810.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+6002,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6002-779107.",insurance grounded-qa fine-tuning instruction bilingual,stylized,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+6003,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6003-750178.",insurance grounded-qa fine-tuning instruction bilingual,clean,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+6004,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: BILINGUAL; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6004-488660.",insurance grounded-qa fine-tuning instruction bilingual,minimal,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+6005,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: platform engineer; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6005-574787.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+6006,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6006-850833.",insurance grounded-qa fine-tuning instruction bilingual,clean,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+6007,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6007-405625.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+6008,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6008-366859.",insurance grounded-qa fine-tuning instruction bilingual,detailed,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+6009,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: BILINGUAL; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6009-303023.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+6010,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6010-156786.",insurance grounded-qa fine-tuning instruction bilingual,minimal,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+6011,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6011-596804.",insurance grounded-qa fine-tuning instruction bilingual,minimal,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+6012,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; 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: 6012-822068.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+6013,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6013-240612.",insurance grounded-qa fine-tuning instruction bilingual,stylized,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+6014,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6014-582641.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+6015,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6015-774481.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+6016,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6016-519695.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+6017,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-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: 6017-306930.",insurance grounded-qa fine-tuning instruction bilingual,stylized,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+6018,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6018-739907.",insurance grounded-qa fine-tuning instruction bilingual,stylized,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+6019,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6019-367494.",insurance grounded-qa fine-tuning instruction bilingual,minimal,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+6020,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6020-718202.",insurance grounded-qa fine-tuning instruction bilingual,detailed,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+6021,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6021-400980.",insurance grounded-qa fine-tuning instruction bilingual,minimal,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+6022,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6022-648635.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+6023,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6023-898465.",insurance grounded-qa fine-tuning instruction bilingual,stylized,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+6024,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6024-739487.",insurance grounded-qa fine-tuning instruction bilingual,minimal,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+6025,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; 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: 6025-660994.",insurance grounded-qa fine-tuning instruction bilingual,minimal,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+6026,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6026-142916.",insurance grounded-qa fine-tuning instruction bilingual,stylized,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+6027,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: data scientist; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6027-984057.",insurance grounded-qa fine-tuning instruction bilingual,clean,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+6028,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6028-692674.",insurance grounded-qa fine-tuning instruction bilingual,clean,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+6029,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6029-379195.",insurance grounded-qa fine-tuning instruction bilingual,minimal,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+6030,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6030-808802.",insurance grounded-qa fine-tuning instruction bilingual,stylized,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+6031,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6031-902432.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+6032,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6032-337122.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+6033,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6033-652584.",insurance grounded-qa fine-tuning instruction bilingual,detailed,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+6034,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ml engineer; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6034-770816.",insurance grounded-qa fine-tuning instruction bilingual,clean,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+6035,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6035-773692.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+6036,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: platform engineer; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6036-135942.",insurance grounded-qa fine-tuning instruction bilingual,clean,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+6037,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: platform engineer; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6037-125805.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+6038,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6038-438314.",insurance grounded-qa fine-tuning instruction bilingual,clean,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+6039,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: BILINGUAL; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6039-156432.",insurance grounded-qa fine-tuning instruction bilingual,detailed,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+6040,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6040-264828.",insurance grounded-qa fine-tuning instruction bilingual,stylized,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+6041,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: platform engineer; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6041-271096.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+6042,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6042-186961.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+6043,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6043-304525.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+6044,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6044-757909.",insurance grounded-qa fine-tuning instruction bilingual,clean,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+6045,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; 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: 6045-653099.",insurance grounded-qa fine-tuning instruction bilingual,minimal,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+6046,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6046-674473.",insurance grounded-qa fine-tuning instruction bilingual,minimal,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+6047,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6047-877814.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+6048,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6048-906074.",insurance grounded-qa fine-tuning instruction bilingual,detailed,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+6049,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; 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: 6049-695308.",insurance grounded-qa fine-tuning instruction bilingual,clean,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+6050,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: BILINGUAL; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6050-308910.",insurance grounded-qa fine-tuning instruction bilingual,clean,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+6051,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: platform engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6051-675774.",insurance grounded-qa fine-tuning instruction bilingual,stylized,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+6052,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6052-917866.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+6053,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6053-474353.",insurance grounded-qa fine-tuning instruction bilingual,clean,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+6054,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ai researcher; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6054-510458.",insurance grounded-qa fine-tuning instruction bilingual,stylized,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+6055,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; 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: 6055-659365.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+6056,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6056-944796.",insurance grounded-qa fine-tuning instruction bilingual,detailed,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+6057,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6057-838976.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+6058,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; 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: 6058-439187.",insurance grounded-qa fine-tuning instruction bilingual,minimal,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+6059,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6059-342491.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+6060,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-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: 6060-532296.",insurance grounded-qa fine-tuning instruction bilingual,stylized,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+6061,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: data scientist; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6061-803236.",insurance grounded-qa fine-tuning instruction bilingual,stylized,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+6062,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: data scientist; Task: robustness-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6062-114881.",insurance grounded-qa fine-tuning instruction bilingual,stylized,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+6063,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ai researcher; Task: quality-check; Format: long-context; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6063-904746.",insurance grounded-qa fine-tuning instruction bilingual,detailed,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+6064,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6064-419499.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+6065,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6065-448133.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+6066,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6066-690802.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+6067,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6067-363629.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+6068,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: BILINGUAL; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6068-816043.",insurance grounded-qa fine-tuning instruction bilingual,minimal,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+6069,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: BILINGUAL; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6069-606919.",insurance grounded-qa fine-tuning instruction bilingual,detailed,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+6070,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6070-205792.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+6071,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6071-595187.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+6072,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6072-763388.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+6073,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6073-853958.",insurance grounded-qa fine-tuning instruction bilingual,detailed,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+6074,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6074-195494.",insurance grounded-qa fine-tuning instruction bilingual,minimal,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+6075,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6075-453319.",insurance grounded-qa fine-tuning instruction bilingual,minimal,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+6076,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; 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: 6076-504826.",insurance grounded-qa fine-tuning instruction bilingual,detailed,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+6077,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; 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: 6077-266215.",insurance grounded-qa fine-tuning instruction bilingual,minimal,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+6078,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ml engineer; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6078-493670.",insurance grounded-qa fine-tuning instruction bilingual,stylized,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+6079,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6079-684930.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+6080,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: data scientist; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6080-876316.",insurance grounded-qa fine-tuning instruction bilingual,minimal,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+6081,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6081-444551.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+6082,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6082-169896.",insurance grounded-qa fine-tuning instruction bilingual,detailed,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+6083,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; 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: 6083-322408.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+6084,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6084-491707.",insurance grounded-qa fine-tuning instruction bilingual,clean,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+6085,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6085-627423.",insurance grounded-qa fine-tuning instruction bilingual,detailed,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+6086,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6086-684474.",insurance grounded-qa fine-tuning instruction bilingual,clean,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+6087,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-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: 6087-536214.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+6088,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6088-247360.",insurance grounded-qa fine-tuning instruction bilingual,clean,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+6089,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6089-241564.",insurance grounded-qa fine-tuning instruction bilingual,detailed,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+6090,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ml engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6090-638015.",insurance grounded-qa fine-tuning instruction bilingual,minimal,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+6091,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6091-501436.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+6092,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6092-997787.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+6093,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6093-905931.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+6094,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; 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: 6094-792685.",insurance grounded-qa fine-tuning instruction bilingual,clean,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+6095,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6095-941390.",insurance grounded-qa fine-tuning instruction bilingual,minimal,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+6096,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6096-103040.",insurance grounded-qa fine-tuning instruction bilingual,minimal,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+6097,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; 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: 6097-320708.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+6098,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6098-979762.",insurance grounded-qa fine-tuning instruction bilingual,stylized,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+6099,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: data scientist; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6099-972070.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+6100,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; 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: 6100-941636.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+6101,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; 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: 6101-852431.",insurance grounded-qa fine-tuning instruction bilingual,stylized,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+6102,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6102-507779.",insurance grounded-qa fine-tuning instruction bilingual,stylized,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+6103,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: data scientist; Task: robustness-check; Format: long-context; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6103-562518.",insurance grounded-qa fine-tuning instruction bilingual,stylized,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+6104,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6104-347657.",insurance grounded-qa fine-tuning instruction bilingual,minimal,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+6105,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6105-590684.",insurance grounded-qa fine-tuning instruction bilingual,detailed,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+6106,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ai researcher; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6106-368486.",insurance grounded-qa fine-tuning instruction bilingual,detailed,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+6107,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; 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: 6107-278849.",insurance grounded-qa fine-tuning instruction bilingual,detailed,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+6108,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6108-864757.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+6109,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; 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: 6109-452322.",insurance grounded-qa fine-tuning instruction bilingual,clean,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+6110,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6110-170732.",insurance grounded-qa fine-tuning instruction bilingual,minimal,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+6111,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: platform engineer; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6111-367508.",insurance grounded-qa fine-tuning instruction bilingual,stylized,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+6112,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: BILINGUAL; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6112-248121.",insurance grounded-qa fine-tuning instruction bilingual,stylized,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+6113,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; 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: 6113-613242.",insurance grounded-qa fine-tuning instruction bilingual,detailed,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+6114,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: data scientist; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6114-613457.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+6115,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: platform engineer; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6115-646435.",insurance grounded-qa fine-tuning instruction bilingual,detailed,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+6116,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: data scientist; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6116-310450.",insurance grounded-qa fine-tuning instruction bilingual,stylized,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+6117,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6117-410544.",insurance grounded-qa fine-tuning instruction bilingual,detailed,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+6118,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6118-691022.",insurance grounded-qa fine-tuning instruction bilingual,detailed,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+6119,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ai researcher; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6119-273646.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+6120,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6120-998596.",insurance grounded-qa fine-tuning instruction bilingual,stylized,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+6121,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6121-191705.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+6122,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6122-179884.",insurance grounded-qa fine-tuning instruction bilingual,stylized,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+6123,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; 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: 6123-542886.",insurance grounded-qa fine-tuning instruction bilingual,detailed,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+6124,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6124-837925.",insurance grounded-qa fine-tuning instruction bilingual,detailed,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+6125,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ml engineer; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6125-380530.",insurance grounded-qa fine-tuning instruction bilingual,stylized,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+6126,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6126-593972.",insurance grounded-qa fine-tuning instruction bilingual,minimal,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+6127,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6127-472076.",insurance grounded-qa fine-tuning instruction bilingual,minimal,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+6128,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-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: 6128-665684.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+6129,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6129-199910.",insurance grounded-qa fine-tuning instruction bilingual,detailed,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+6130,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6130-918213.",insurance grounded-qa fine-tuning instruction bilingual,stylized,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+6131,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6131-585615.",insurance grounded-qa fine-tuning instruction bilingual,clean,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+6132,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6132-491834.",insurance grounded-qa fine-tuning instruction bilingual,detailed,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+6133,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: data scientist; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6133-906622.",insurance grounded-qa fine-tuning instruction bilingual,stylized,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+6134,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; 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: 6134-713814.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+6135,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6135-772111.",insurance grounded-qa fine-tuning instruction bilingual,minimal,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+6136,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6136-724392.",insurance grounded-qa fine-tuning instruction bilingual,minimal,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+6137,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6137-541415.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+6138,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6138-919778.",insurance grounded-qa fine-tuning instruction bilingual,clean,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+6139,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6139-991040.",insurance grounded-qa fine-tuning instruction bilingual,clean,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+6140,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6140-400447.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+6141,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6141-138368.",insurance grounded-qa fine-tuning instruction bilingual,minimal,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+6142,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-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: 6142-682839.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+6143,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: BILINGUAL; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6143-791954.",insurance grounded-qa fine-tuning instruction bilingual,stylized,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+6144,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; 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: 6144-235390.",insurance grounded-qa fine-tuning instruction bilingual,detailed,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+6145,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-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: 6145-612206.",insurance grounded-qa fine-tuning instruction bilingual,minimal,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+6146,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6146-692726.",insurance grounded-qa fine-tuning instruction bilingual,minimal,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+6147,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6147-605203.",insurance grounded-qa fine-tuning instruction bilingual,stylized,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+6148,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6148-496469.",insurance grounded-qa fine-tuning instruction bilingual,detailed,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+6149,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6149-469335.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+6150,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6150-452264.",insurance grounded-qa fine-tuning instruction bilingual,minimal,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+6151,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6151-147201.",insurance grounded-qa fine-tuning instruction bilingual,stylized,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+6152,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6152-919813.",insurance grounded-qa fine-tuning instruction bilingual,clean,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+6153,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: BILINGUAL; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6153-429587.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+6154,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6154-495404.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+6155,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ai researcher; Task: quality-check; Format: long-context; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6155-119587.",insurance grounded-qa fine-tuning instruction bilingual,clean,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+6156,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; 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: 6156-373458.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+6157,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; 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: 6157-330839.",insurance grounded-qa fine-tuning instruction bilingual,minimal,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+6158,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6158-718355.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+6159,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6159-521587.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+6160,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; 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: 6160-905438.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+6161,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: data scientist; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6161-377820.",insurance grounded-qa fine-tuning instruction bilingual,stylized,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+6162,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ml engineer; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6162-495533.",insurance grounded-qa fine-tuning instruction bilingual,stylized,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+6163,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6163-900177.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+6164,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6164-323231.",insurance grounded-qa fine-tuning instruction bilingual,clean,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+6165,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: data scientist; Task: benchmarking; Format: long-context; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6165-482664.",insurance grounded-qa fine-tuning instruction bilingual,clean,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+6166,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6166-448156.",insurance grounded-qa fine-tuning instruction bilingual,stylized,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+6167,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6167-851532.",insurance grounded-qa fine-tuning instruction bilingual,minimal,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+6168,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6168-585079.",insurance grounded-qa fine-tuning instruction bilingual,stylized,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+6169,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6169-669184.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+6170,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: platform engineer; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6170-262185.",insurance grounded-qa fine-tuning instruction bilingual,detailed,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+6171,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6171-841276.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+6172,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6172-315321.",insurance grounded-qa fine-tuning instruction bilingual,clean,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+6173,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; 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: 6173-983175.",insurance grounded-qa fine-tuning instruction bilingual,minimal,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+6174,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6174-821462.",insurance grounded-qa fine-tuning instruction bilingual,minimal,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+6175,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6175-490773.",insurance grounded-qa fine-tuning instruction bilingual,clean,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+6176,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6176-973957.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+6177,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6177-245571.",insurance grounded-qa fine-tuning instruction bilingual,detailed,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+6178,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-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: 6178-584869.",insurance grounded-qa fine-tuning instruction bilingual,minimal,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+6179,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: data scientist; Task: robustness-check; Format: long-context; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6179-373860.",insurance grounded-qa fine-tuning instruction bilingual,stylized,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+6180,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: data scientist; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6180-931543.",insurance grounded-qa fine-tuning instruction bilingual,detailed,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+6181,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6181-143337.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+6182,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ml engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6182-725192.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+6183,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6183-593998.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+6184,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; 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: 6184-308917.",insurance grounded-qa fine-tuning instruction bilingual,minimal,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+6185,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6185-631975.",insurance grounded-qa fine-tuning instruction bilingual,minimal,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+6186,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; 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: 6186-505607.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+6187,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6187-752093.",insurance grounded-qa fine-tuning instruction bilingual,minimal,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+6188,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6188-365861.",insurance grounded-qa fine-tuning instruction bilingual,minimal,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+6189,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6189-564685.",insurance grounded-qa fine-tuning instruction bilingual,stylized,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+6190,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6190-170481.",insurance grounded-qa fine-tuning instruction bilingual,detailed,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+6191,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6191-669030.",insurance grounded-qa fine-tuning instruction bilingual,stylized,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+6192,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6192-802986.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+6193,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6193-191735.",insurance grounded-qa fine-tuning instruction bilingual,clean,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+6194,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: platform engineer; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6194-513267.",insurance grounded-qa fine-tuning instruction bilingual,minimal,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+6195,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6195-399974.",insurance grounded-qa fine-tuning instruction bilingual,clean,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+6196,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: data scientist; Task: robustness-check; Format: long-context; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6196-415502.",insurance grounded-qa fine-tuning instruction bilingual,minimal,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+6197,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6197-920957.",insurance grounded-qa fine-tuning instruction bilingual,clean,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+6198,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: data scientist; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6198-747254.",insurance grounded-qa fine-tuning instruction bilingual,stylized,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+6199,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6199-663003.",insurance grounded-qa fine-tuning instruction bilingual,clean,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+6200,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6200-109549.",insurance grounded-qa fine-tuning instruction bilingual,detailed,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+6201,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: data scientist; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6201-204322.",insurance grounded-qa fine-tuning instruction bilingual,detailed,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+6202,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; 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: 6202-924748.",insurance grounded-qa fine-tuning instruction bilingual,minimal,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+6203,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-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: 6203-289933.",insurance grounded-qa fine-tuning instruction bilingual,stylized,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+6204,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6204-827088.",insurance grounded-qa fine-tuning instruction bilingual,minimal,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+6205,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6205-687182.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+6206,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6206-342934.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+6207,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6207-349247.",insurance grounded-qa fine-tuning instruction bilingual,detailed,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+6208,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6208-561990.",insurance grounded-qa fine-tuning instruction bilingual,stylized,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+6209,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; 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: 6209-487946.",insurance grounded-qa fine-tuning instruction bilingual,stylized,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+6210,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-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: 6210-387315.",insurance grounded-qa fine-tuning instruction bilingual,clean,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+6211,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6211-753505.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+6212,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6212-591741.",insurance grounded-qa fine-tuning instruction bilingual,stylized,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+6213,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: data scientist; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6213-567214.",insurance grounded-qa fine-tuning instruction bilingual,minimal,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+6214,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: data scientist; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6214-337953.",insurance grounded-qa fine-tuning instruction bilingual,stylized,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+6215,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; 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: 6215-491123.",insurance grounded-qa fine-tuning instruction bilingual,minimal,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+6216,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; 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: 6216-426187.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+6217,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6217-138289.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+6218,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6218-922638.",insurance grounded-qa fine-tuning instruction bilingual,detailed,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+6219,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6219-417838.",insurance grounded-qa fine-tuning instruction bilingual,detailed,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+6220,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6220-370245.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+6221,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; 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: 6221-113528.",insurance grounded-qa fine-tuning instruction bilingual,detailed,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+6222,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; 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: 6222-880096.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+6223,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-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: 6223-400314.",insurance grounded-qa fine-tuning instruction bilingual,detailed,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+6224,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6224-232356.",insurance grounded-qa fine-tuning instruction bilingual,clean,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+6225,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6225-833398.",insurance grounded-qa fine-tuning instruction bilingual,minimal,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+6226,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6226-166162.",insurance grounded-qa fine-tuning instruction bilingual,detailed,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+6227,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6227-436688.",insurance grounded-qa fine-tuning instruction bilingual,minimal,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+6228,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; 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: 6228-707698.",insurance grounded-qa fine-tuning instruction bilingual,stylized,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+6229,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6229-484624.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+6230,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6230-593551.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+6231,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6231-135116.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+6232,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6232-306422.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+6233,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6233-270523.",insurance grounded-qa fine-tuning instruction bilingual,clean,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+6234,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: BILINGUAL; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6234-968350.",insurance grounded-qa fine-tuning instruction bilingual,stylized,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+6235,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6235-539772.",insurance grounded-qa fine-tuning instruction bilingual,minimal,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+6236,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6236-912433.",insurance grounded-qa fine-tuning instruction bilingual,detailed,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+6237,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ml engineer; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6237-558528.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+6238,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6238-915252.",insurance grounded-qa fine-tuning instruction bilingual,stylized,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+6239,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6239-392133.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+6240,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6240-974200.",insurance grounded-qa fine-tuning instruction bilingual,stylized,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+6241,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6241-958007.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+6242,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-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: 6242-448156.",insurance grounded-qa fine-tuning instruction bilingual,detailed,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+6243,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: BILINGUAL; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6243-295001.",insurance grounded-qa fine-tuning instruction bilingual,detailed,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+6244,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6244-553366.",insurance grounded-qa fine-tuning instruction bilingual,detailed,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+6245,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6245-184606.",insurance grounded-qa fine-tuning instruction bilingual,minimal,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+6246,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6246-218666.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+6247,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6247-268429.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+6248,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6248-820894.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+6249,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6249-212082.",insurance grounded-qa fine-tuning instruction bilingual,detailed,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+6250,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; 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: 6250-840827.",insurance grounded-qa fine-tuning instruction bilingual,clean,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+6251,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; 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: 6251-551790.",insurance grounded-qa fine-tuning instruction bilingual,stylized,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+6252,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6252-655655.",insurance grounded-qa fine-tuning instruction bilingual,clean,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+6253,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6253-185582.",insurance grounded-qa fine-tuning instruction bilingual,minimal,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+6254,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6254-467881.",insurance grounded-qa fine-tuning instruction bilingual,minimal,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+6255,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-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: 6255-628401.",insurance grounded-qa fine-tuning instruction bilingual,clean,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+6256,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6256-285136.",insurance grounded-qa fine-tuning instruction bilingual,minimal,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+6257,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: platform engineer; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6257-448447.",insurance grounded-qa fine-tuning instruction bilingual,stylized,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+6258,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: BILINGUAL; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6258-507851.",insurance grounded-qa fine-tuning instruction bilingual,stylized,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+6259,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6259-569774.",insurance grounded-qa fine-tuning instruction bilingual,detailed,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+6260,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6260-252708.",insurance grounded-qa fine-tuning instruction bilingual,clean,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+6261,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: BILINGUAL; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6261-430874.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+6262,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6262-899949.",insurance grounded-qa fine-tuning instruction bilingual,clean,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+6263,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6263-345236.",insurance grounded-qa fine-tuning instruction bilingual,clean,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+6264,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6264-260510.",insurance grounded-qa fine-tuning instruction bilingual,clean,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+6265,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6265-346561.",insurance grounded-qa fine-tuning instruction bilingual,minimal,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+6266,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6266-205100.",insurance grounded-qa fine-tuning instruction bilingual,minimal,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+6267,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6267-296493.",insurance grounded-qa fine-tuning instruction bilingual,clean,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+6268,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6268-520626.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+6269,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6269-791076.",insurance grounded-qa fine-tuning instruction bilingual,stylized,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+6270,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6270-316058.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+6271,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6271-369150.",insurance grounded-qa fine-tuning instruction bilingual,detailed,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+6272,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6272-616886.",insurance grounded-qa fine-tuning instruction bilingual,clean,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+6273,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; 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: 6273-863963.",insurance grounded-qa fine-tuning instruction bilingual,stylized,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+6274,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6274-275703.",insurance grounded-qa fine-tuning instruction bilingual,stylized,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+6275,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: BILINGUAL; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6275-900375.",insurance grounded-qa fine-tuning instruction bilingual,detailed,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+6276,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6276-339308.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+6277,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6277-245110.",insurance grounded-qa fine-tuning instruction bilingual,stylized,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+6278,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6278-549237.",insurance grounded-qa fine-tuning instruction bilingual,clean,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+6279,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6279-857601.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+6280,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; 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: 6280-484308.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+6281,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ai researcher; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6281-627944.",insurance grounded-qa fine-tuning instruction bilingual,stylized,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+6282,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6282-374965.",insurance grounded-qa fine-tuning instruction bilingual,detailed,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+6283,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ai researcher; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6283-802492.",insurance grounded-qa fine-tuning instruction bilingual,clean,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+6284,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: BILINGUAL; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6284-193938.",insurance grounded-qa fine-tuning instruction bilingual,clean,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+6285,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6285-732215.",insurance grounded-qa fine-tuning instruction bilingual,minimal,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+6286,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6286-720668.",insurance grounded-qa fine-tuning instruction bilingual,detailed,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+6287,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6287-365281.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+6288,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6288-574741.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+6289,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6289-353469.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+6290,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6290-596671.",insurance grounded-qa fine-tuning instruction bilingual,detailed,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+6291,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-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: 6291-787865.",insurance grounded-qa fine-tuning instruction bilingual,detailed,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+6292,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; 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: 6292-868820.",insurance grounded-qa fine-tuning instruction bilingual,minimal,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+6293,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6293-143298.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+6294,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: BILINGUAL; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6294-309735.",insurance grounded-qa fine-tuning instruction bilingual,detailed,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+6295,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6295-799675.",insurance grounded-qa fine-tuning instruction bilingual,stylized,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+6296,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6296-600642.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+6297,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6297-798278.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+6298,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6298-869193.",insurance grounded-qa fine-tuning instruction bilingual,detailed,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+6299,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: data scientist; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6299-536591.",insurance grounded-qa fine-tuning instruction bilingual,clean,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+6300,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6300-601565.",insurance grounded-qa fine-tuning instruction bilingual,minimal,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+6301,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6301-167273.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+6302,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6302-806622.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+6303,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; 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: 6303-404155.",insurance grounded-qa fine-tuning instruction bilingual,minimal,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+6304,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6304-534589.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+6305,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: data scientist; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6305-870995.",insurance grounded-qa fine-tuning instruction bilingual,detailed,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+6306,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6306-231051.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+6307,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6307-866939.",insurance grounded-qa fine-tuning instruction bilingual,clean,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+6308,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6308-708275.",insurance grounded-qa fine-tuning instruction bilingual,clean,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+6309,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6309-501873.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+6310,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6310-335013.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+6311,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; 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: 6311-303288.",insurance grounded-qa fine-tuning instruction bilingual,detailed,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+6312,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6312-661089.",insurance grounded-qa fine-tuning instruction bilingual,clean,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+6313,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6313-152492.",insurance grounded-qa fine-tuning instruction bilingual,clean,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+6314,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; 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: 6314-751438.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+6315,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: BILINGUAL; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6315-238937.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+6316,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6316-408259.",insurance grounded-qa fine-tuning instruction bilingual,stylized,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+6317,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6317-395296.",insurance grounded-qa fine-tuning instruction bilingual,clean,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+6318,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6318-740586.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+6319,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6319-364536.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+6320,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6320-842732.",insurance grounded-qa fine-tuning instruction bilingual,clean,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+6321,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6321-320939.",insurance grounded-qa fine-tuning instruction bilingual,stylized,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+6322,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: BILINGUAL; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6322-764624.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+6323,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6323-783094.",insurance grounded-qa fine-tuning instruction bilingual,minimal,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+6324,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; 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: 6324-460069.",insurance grounded-qa fine-tuning instruction bilingual,clean,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+6325,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6325-866877.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+6326,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; 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: 6326-759549.",insurance grounded-qa fine-tuning instruction bilingual,detailed,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+6327,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6327-947685.",insurance grounded-qa fine-tuning instruction bilingual,detailed,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+6328,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6328-890828.",insurance grounded-qa fine-tuning instruction bilingual,detailed,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+6329,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6329-538385.",insurance grounded-qa fine-tuning instruction bilingual,stylized,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+6330,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; 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: 6330-210125.",insurance grounded-qa fine-tuning instruction bilingual,clean,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+6331,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-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: 6331-829484.",insurance grounded-qa fine-tuning instruction bilingual,detailed,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+6332,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-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: 6332-550717.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+6333,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6333-996864.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+6334,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6334-979669.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+6335,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ml engineer; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6335-626891.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+6336,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6336-427635.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+6337,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6337-242280.",insurance grounded-qa fine-tuning instruction bilingual,detailed,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+6338,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: data scientist; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6338-447322.",insurance grounded-qa fine-tuning instruction bilingual,stylized,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+6339,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6339-743903.",insurance grounded-qa fine-tuning instruction bilingual,clean,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+6340,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-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: 6340-183493.",insurance grounded-qa fine-tuning instruction bilingual,detailed,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+6341,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6341-471720.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+6342,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6342-563645.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+6343,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: platform engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6343-442291.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+6344,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: data scientist; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6344-548299.",insurance grounded-qa fine-tuning instruction bilingual,stylized,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+6345,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; 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: 6345-169195.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+6346,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6346-572586.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+6347,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; 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: 6347-847125.",insurance grounded-qa fine-tuning instruction bilingual,stylized,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+6348,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6348-597415.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+6349,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6349-346437.",insurance grounded-qa fine-tuning instruction bilingual,clean,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+6350,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6350-700486.",insurance grounded-qa fine-tuning instruction bilingual,minimal,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+6351,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6351-925580.",insurance grounded-qa fine-tuning instruction bilingual,clean,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+6352,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-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: 6352-430811.",insurance grounded-qa fine-tuning instruction bilingual,clean,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+6353,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: data scientist; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6353-796169.",insurance grounded-qa fine-tuning instruction bilingual,stylized,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+6354,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: data scientist; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6354-326938.",insurance grounded-qa fine-tuning instruction bilingual,stylized,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+6355,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6355-792754.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+6356,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ai researcher; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6356-372727.",insurance grounded-qa fine-tuning instruction bilingual,stylized,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+6357,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; 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: 6357-195597.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+6358,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6358-424130.",insurance grounded-qa fine-tuning instruction bilingual,detailed,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+6359,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6359-262855.",insurance grounded-qa fine-tuning instruction bilingual,minimal,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+6360,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6360-692730.",insurance grounded-qa fine-tuning instruction bilingual,stylized,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+6361,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6361-531714.",insurance grounded-qa fine-tuning instruction bilingual,minimal,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+6362,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ml engineer; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6362-546175.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+6363,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6363-498793.",insurance grounded-qa fine-tuning instruction bilingual,stylized,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+6364,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6364-582128.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+6365,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6365-629643.",insurance grounded-qa fine-tuning instruction bilingual,clean,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+6366,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6366-763049.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+6367,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: data scientist; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6367-310341.",insurance grounded-qa fine-tuning instruction bilingual,clean,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+6368,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6368-743873.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+6369,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: data scientist; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6369-259989.",insurance grounded-qa fine-tuning instruction bilingual,minimal,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+6370,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6370-417492.",insurance grounded-qa fine-tuning instruction bilingual,minimal,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+6371,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6371-969448.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+6372,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6372-800409.",insurance grounded-qa fine-tuning instruction bilingual,stylized,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+6373,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; 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: 6373-879616.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+6374,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6374-642182.",insurance grounded-qa fine-tuning instruction bilingual,stylized,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+6375,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6375-295004.",insurance grounded-qa fine-tuning instruction bilingual,detailed,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+6376,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: BILINGUAL; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6376-874103.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+6377,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: platform engineer; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6377-607116.",insurance grounded-qa fine-tuning instruction bilingual,clean,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+6378,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6378-419035.",insurance grounded-qa fine-tuning instruction bilingual,minimal,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+6379,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6379-980464.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+6380,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; 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: 6380-358172.",insurance grounded-qa fine-tuning instruction bilingual,stylized,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+6381,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6381-302496.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+6382,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6382-160966.",insurance grounded-qa fine-tuning instruction bilingual,minimal,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+6383,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6383-216518.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+6384,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6384-438340.",insurance grounded-qa fine-tuning instruction bilingual,clean,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+6385,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ml engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6385-948901.",insurance grounded-qa fine-tuning instruction bilingual,stylized,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+6386,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: data scientist; Task: robustness-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6386-467464.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+6387,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; 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: 6387-180025.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+6388,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6388-165791.",insurance grounded-qa fine-tuning instruction bilingual,detailed,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+6389,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6389-529751.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+6390,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6390-395328.",insurance grounded-qa fine-tuning instruction bilingual,clean,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+6391,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6391-414488.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+6392,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6392-364840.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+6393,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6393-548793.",insurance grounded-qa fine-tuning instruction bilingual,clean,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+6394,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6394-484472.",insurance grounded-qa fine-tuning instruction bilingual,stylized,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+6395,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6395-768232.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+6396,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; 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: 6396-886758.",insurance grounded-qa fine-tuning instruction bilingual,minimal,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+6397,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ml engineer; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6397-431886.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+6398,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6398-439684.",insurance grounded-qa fine-tuning instruction bilingual,clean,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+6399,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6399-550671.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+6400,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6400-866666.",insurance grounded-qa fine-tuning instruction bilingual,stylized,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+6401,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6401-136423.",insurance grounded-qa fine-tuning instruction bilingual,minimal,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+6402,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6402-822508.",insurance grounded-qa fine-tuning instruction bilingual,detailed,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+6403,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6403-415328.",insurance grounded-qa fine-tuning instruction bilingual,clean,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+6404,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: BILINGUAL; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6404-174024.",insurance grounded-qa fine-tuning instruction bilingual,detailed,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+6405,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-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: 6405-251456.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+6406,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; 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: 6406-914722.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+6407,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6407-843749.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+6408,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6408-740834.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+6409,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: BILINGUAL; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6409-886028.",insurance grounded-qa fine-tuning instruction bilingual,minimal,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+6410,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6410-255487.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+6411,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6411-254064.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+6412,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6412-475540.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+6413,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6413-144748.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+6414,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: BILINGUAL; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6414-914610.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+6415,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; 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: 6415-720150.",insurance grounded-qa fine-tuning instruction bilingual,clean,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+6416,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; 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: 6416-431745.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+6417,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6417-332975.",insurance grounded-qa fine-tuning instruction bilingual,stylized,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+6418,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6418-437231.",insurance grounded-qa fine-tuning instruction bilingual,clean,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+6419,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-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: 6419-594775.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+6420,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6420-174738.",insurance grounded-qa fine-tuning instruction bilingual,clean,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+6421,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6421-405964.",insurance grounded-qa fine-tuning instruction bilingual,minimal,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+6422,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6422-793988.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+6423,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: data scientist; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6423-448245.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+6424,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6424-815758.",insurance grounded-qa fine-tuning instruction bilingual,minimal,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+6425,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6425-634515.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+6426,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6426-667125.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+6427,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6427-618077.",insurance grounded-qa fine-tuning instruction bilingual,minimal,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+6428,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6428-305057.",insurance grounded-qa fine-tuning instruction bilingual,minimal,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+6429,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; 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: 6429-429221.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+6430,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6430-995762.",insurance grounded-qa fine-tuning instruction bilingual,stylized,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+6431,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6431-598461.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+6432,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6432-583967.",insurance grounded-qa fine-tuning instruction bilingual,minimal,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+6433,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6433-968548.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+6434,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6434-588900.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+6435,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-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: 6435-858388.",insurance grounded-qa fine-tuning instruction bilingual,minimal,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+6436,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6436-137956.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+6437,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; 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: 6437-287497.",insurance grounded-qa fine-tuning instruction bilingual,clean,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+6438,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6438-989409.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+6439,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6439-126015.",insurance grounded-qa fine-tuning instruction bilingual,minimal,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+6440,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: BILINGUAL; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6440-502118.",insurance grounded-qa fine-tuning instruction bilingual,stylized,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+6441,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6441-743328.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+6442,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6442-227335.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+6443,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; 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: 6443-917072.",insurance grounded-qa fine-tuning instruction bilingual,stylized,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+6444,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; 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: 6444-259189.",insurance grounded-qa fine-tuning instruction bilingual,stylized,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+6445,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6445-636838.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+6446,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: data scientist; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6446-565392.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+6447,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6447-499275.",insurance grounded-qa fine-tuning instruction bilingual,minimal,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+6448,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6448-185258.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+6449,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6449-117684.",insurance grounded-qa fine-tuning instruction bilingual,clean,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+6450,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6450-392542.",insurance grounded-qa fine-tuning instruction bilingual,detailed,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+6451,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6451-379733.",insurance grounded-qa fine-tuning instruction bilingual,detailed,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+6452,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6452-873902.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+6453,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6453-240528.",insurance grounded-qa fine-tuning instruction bilingual,detailed,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+6454,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6454-763030.",insurance grounded-qa fine-tuning instruction bilingual,minimal,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+6455,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6455-998849.",insurance grounded-qa fine-tuning instruction bilingual,clean,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+6456,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6456-781785.",insurance grounded-qa fine-tuning instruction bilingual,stylized,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+6457,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ml engineer; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6457-693446.",insurance grounded-qa fine-tuning instruction bilingual,clean,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+6458,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6458-815379.",insurance grounded-qa fine-tuning instruction bilingual,stylized,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+6459,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6459-724338.",insurance grounded-qa fine-tuning instruction bilingual,clean,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+6460,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: data scientist; Task: quality-check; Format: long-context; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6460-374618.",insurance grounded-qa fine-tuning instruction bilingual,detailed,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+6461,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: BILINGUAL; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6461-645723.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+6462,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; 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: 6462-136690.",insurance grounded-qa fine-tuning instruction bilingual,stylized,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+6463,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: BILINGUAL; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6463-491569.",insurance grounded-qa fine-tuning instruction bilingual,clean,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+6464,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6464-424696.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+6465,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: BILINGUAL; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6465-802603.",insurance grounded-qa fine-tuning instruction bilingual,minimal,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+6466,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6466-125818.",insurance grounded-qa fine-tuning instruction bilingual,detailed,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+6467,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6467-235773.",insurance grounded-qa fine-tuning instruction bilingual,minimal,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+6468,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6468-118231.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+6469,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-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: 6469-781267.",insurance grounded-qa fine-tuning instruction bilingual,minimal,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+6470,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: BILINGUAL; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6470-106753.",insurance grounded-qa fine-tuning instruction bilingual,minimal,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+6471,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6471-206437.",insurance grounded-qa fine-tuning instruction bilingual,minimal,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+6472,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6472-404798.",insurance grounded-qa fine-tuning instruction bilingual,detailed,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+6473,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: data scientist; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6473-174696.",insurance grounded-qa fine-tuning instruction bilingual,clean,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+6474,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6474-566641.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+6475,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6475-880807.",insurance grounded-qa fine-tuning instruction bilingual,detailed,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+6476,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6476-355388.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+6477,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6477-720131.",insurance grounded-qa fine-tuning instruction bilingual,minimal,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+6478,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: data scientist; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6478-564287.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+6479,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6479-230207.",insurance grounded-qa fine-tuning instruction bilingual,minimal,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+6480,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: data scientist; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6480-671290.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+6481,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6481-298882.",insurance grounded-qa fine-tuning instruction bilingual,detailed,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+6482,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6482-442137.",insurance grounded-qa fine-tuning instruction bilingual,minimal,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+6483,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: BILINGUAL; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6483-151517.",insurance grounded-qa fine-tuning instruction bilingual,stylized,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+6484,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6484-744819.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+6485,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6485-210139.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+6486,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6486-252698.",insurance grounded-qa fine-tuning instruction bilingual,stylized,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+6487,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6487-791182.",insurance grounded-qa fine-tuning instruction bilingual,minimal,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+6488,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6488-803934.",insurance grounded-qa fine-tuning instruction bilingual,minimal,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+6489,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6489-913387.",insurance grounded-qa fine-tuning instruction bilingual,stylized,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+6490,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; 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: 6490-966778.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+6491,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6491-998470.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+6492,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-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: 6492-537603.",insurance grounded-qa fine-tuning instruction bilingual,minimal,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+6493,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6493-602949.",insurance grounded-qa fine-tuning instruction bilingual,clean,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+6494,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6494-934569.",insurance grounded-qa fine-tuning instruction bilingual,minimal,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+6495,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6495-943570.",insurance grounded-qa fine-tuning instruction bilingual,stylized,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+6496,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; 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: 6496-920342.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+6497,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6497-506526.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+6498,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6498-319098.",insurance grounded-qa fine-tuning instruction bilingual,minimal,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+6499,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: data scientist; Task: benchmarking; Format: long-context; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6499-414166.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+6500,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6500-597841.",insurance grounded-qa fine-tuning instruction bilingual,minimal,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+6501,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-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: 6501-443302.",insurance grounded-qa fine-tuning instruction bilingual,detailed,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+6502,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6502-695579.",insurance grounded-qa fine-tuning instruction bilingual,stylized,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+6503,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6503-260434.",insurance grounded-qa fine-tuning instruction bilingual,clean,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+6504,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6504-951092.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+6505,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: data scientist; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6505-106095.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+6506,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6506-797535.",insurance grounded-qa fine-tuning instruction bilingual,clean,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+6507,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6507-473825.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+6508,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6508-955110.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+6509,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6509-502117.",insurance grounded-qa fine-tuning instruction bilingual,clean,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+6510,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6510-508786.",insurance grounded-qa fine-tuning instruction bilingual,clean,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+6511,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: data scientist; Task: robustness-check; Format: long-context; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6511-119181.",insurance grounded-qa fine-tuning instruction bilingual,minimal,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+6512,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: BILINGUAL; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6512-399442.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+6513,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6513-968289.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+6514,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: BILINGUAL; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6514-922742.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+6515,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6515-989218.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+6516,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6516-800400.",insurance grounded-qa fine-tuning instruction bilingual,stylized,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+6517,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6517-379964.",insurance grounded-qa fine-tuning instruction bilingual,stylized,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+6518,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6518-989232.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+6519,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: data scientist; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6519-649791.",insurance grounded-qa fine-tuning instruction bilingual,stylized,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+6520,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6520-249447.",insurance grounded-qa fine-tuning instruction bilingual,stylized,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+6521,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; 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: 6521-923825.",insurance grounded-qa fine-tuning instruction bilingual,detailed,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+6522,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: platform engineer; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6522-290932.",insurance grounded-qa fine-tuning instruction bilingual,detailed,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+6523,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; 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: 6523-243698.",insurance grounded-qa fine-tuning instruction bilingual,stylized,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+6524,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6524-288227.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+6525,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6525-716707.",insurance grounded-qa fine-tuning instruction bilingual,detailed,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+6526,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6526-580141.",insurance grounded-qa fine-tuning instruction bilingual,minimal,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+6527,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ml engineer; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6527-270322.",insurance grounded-qa fine-tuning instruction bilingual,clean,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+6528,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6528-794887.",insurance grounded-qa fine-tuning instruction bilingual,clean,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+6529,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; 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: 6529-132725.",insurance grounded-qa fine-tuning instruction bilingual,stylized,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+6530,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: platform engineer; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6530-454413.",insurance grounded-qa fine-tuning instruction bilingual,detailed,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+6531,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6531-786263.",insurance grounded-qa fine-tuning instruction bilingual,detailed,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+6532,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6532-340826.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+6533,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6533-345808.",insurance grounded-qa fine-tuning instruction bilingual,detailed,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+6534,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6534-901152.",insurance grounded-qa fine-tuning instruction bilingual,detailed,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+6535,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: data scientist; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6535-749423.",insurance grounded-qa fine-tuning instruction bilingual,minimal,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+6536,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6536-868572.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+6537,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; 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: 6537-439643.",insurance grounded-qa fine-tuning instruction bilingual,minimal,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+6538,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6538-368790.",insurance grounded-qa fine-tuning instruction bilingual,detailed,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+6539,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: data scientist; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6539-768393.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+6540,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6540-945255.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+6541,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6541-301669.",insurance grounded-qa fine-tuning instruction bilingual,clean,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+6542,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; 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: 6542-661932.",insurance grounded-qa fine-tuning instruction bilingual,detailed,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+6543,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6543-119682.",insurance grounded-qa fine-tuning instruction bilingual,detailed,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+6544,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; 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: 6544-759092.",insurance grounded-qa fine-tuning instruction bilingual,minimal,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+6545,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6545-607283.",insurance grounded-qa fine-tuning instruction bilingual,detailed,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+6546,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6546-696167.",insurance grounded-qa fine-tuning instruction bilingual,clean,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+6547,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; 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: 6547-670972.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+6548,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; 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: 6548-938972.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+6549,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: data scientist; Task: robustness-check; Format: long-context; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6549-796094.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+6550,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6550-951749.",insurance grounded-qa fine-tuning instruction bilingual,detailed,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+6551,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6551-739190.",insurance grounded-qa fine-tuning instruction bilingual,stylized,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+6552,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6552-616924.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+6553,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6553-853783.",insurance grounded-qa fine-tuning instruction bilingual,minimal,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+6554,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6554-981866.",insurance grounded-qa fine-tuning instruction bilingual,clean,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+6555,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6555-211428.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+6556,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-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: 6556-529962.",insurance grounded-qa fine-tuning instruction bilingual,stylized,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+6557,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ai researcher; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6557-125273.",insurance grounded-qa fine-tuning instruction bilingual,detailed,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+6558,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6558-889311.",insurance grounded-qa fine-tuning instruction bilingual,stylized,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+6559,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6559-488356.",insurance grounded-qa fine-tuning instruction bilingual,detailed,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+6560,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6560-149567.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+6561,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6561-285783.",insurance grounded-qa fine-tuning instruction bilingual,detailed,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+6562,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; 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: 6562-382710.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+6563,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6563-674944.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+6564,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6564-319923.",insurance grounded-qa fine-tuning instruction bilingual,stylized,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+6565,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ai researcher; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6565-585080.",insurance grounded-qa fine-tuning instruction bilingual,clean,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+6566,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6566-108682.",insurance grounded-qa fine-tuning instruction bilingual,minimal,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+6567,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6567-132468.",insurance grounded-qa fine-tuning instruction bilingual,clean,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+6568,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: data scientist; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6568-690261.",insurance grounded-qa fine-tuning instruction bilingual,clean,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+6569,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6569-450242.",insurance grounded-qa fine-tuning instruction bilingual,stylized,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+6570,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; 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: 6570-348032.",insurance grounded-qa fine-tuning instruction bilingual,minimal,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+6571,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6571-756509.",insurance grounded-qa fine-tuning instruction bilingual,detailed,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+6572,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: data scientist; Task: quality-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6572-188095.",insurance grounded-qa fine-tuning instruction bilingual,clean,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+6573,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6573-365813.",insurance grounded-qa fine-tuning instruction bilingual,stylized,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+6574,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-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: 6574-837026.",insurance grounded-qa fine-tuning instruction bilingual,detailed,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+6575,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: data scientist; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6575-328014.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+6576,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6576-381178.",insurance grounded-qa fine-tuning instruction bilingual,clean,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+6577,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: BILINGUAL; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6577-310138.",insurance grounded-qa fine-tuning instruction bilingual,detailed,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+6578,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: data scientist; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6578-587639.",insurance grounded-qa fine-tuning instruction bilingual,detailed,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+6579,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6579-349537.",insurance grounded-qa fine-tuning instruction bilingual,clean,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+6580,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6580-747292.",insurance grounded-qa fine-tuning instruction bilingual,minimal,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+6581,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6581-477157.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+6582,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6582-443327.",insurance grounded-qa fine-tuning instruction bilingual,stylized,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+6583,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; 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: 6583-242135.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+6584,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ai researcher; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6584-540730.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+6585,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-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: 6585-305047.",insurance grounded-qa fine-tuning instruction bilingual,detailed,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+6586,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6586-895297.",insurance grounded-qa fine-tuning instruction bilingual,clean,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+6587,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6587-173412.",insurance grounded-qa fine-tuning instruction bilingual,clean,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+6588,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6588-196238.",insurance grounded-qa fine-tuning instruction bilingual,clean,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+6589,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-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: 6589-707384.",insurance grounded-qa fine-tuning instruction bilingual,stylized,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+6590,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6590-686021.",insurance grounded-qa fine-tuning instruction bilingual,minimal,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+6591,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6591-798617.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+6592,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6592-472492.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+6593,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6593-526714.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+6594,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6594-457166.",insurance grounded-qa fine-tuning instruction bilingual,stylized,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+6595,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6595-819464.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+6596,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ml engineer; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6596-914943.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+6597,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6597-924045.",insurance grounded-qa fine-tuning instruction bilingual,minimal,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+6598,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: BILINGUAL; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6598-954611.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+6599,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; 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: 6599-360902.",insurance grounded-qa fine-tuning instruction bilingual,stylized,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+6600,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6600-804540.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+6601,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6601-938371.",insurance grounded-qa fine-tuning instruction bilingual,stylized,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+6602,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: platform engineer; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6602-757326.",insurance grounded-qa fine-tuning instruction bilingual,clean,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+6603,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: data scientist; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6603-390843.",insurance grounded-qa fine-tuning instruction bilingual,detailed,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+6604,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6604-285580.",insurance grounded-qa fine-tuning instruction bilingual,detailed,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+6605,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6605-855376.",insurance grounded-qa fine-tuning instruction bilingual,detailed,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+6606,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: BILINGUAL; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6606-640666.",insurance grounded-qa fine-tuning instruction bilingual,minimal,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+6607,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6607-604808.",insurance grounded-qa fine-tuning instruction bilingual,stylized,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+6608,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6608-269552.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+6609,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6609-973258.",insurance grounded-qa fine-tuning instruction bilingual,clean,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+6610,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6610-321314.",insurance grounded-qa fine-tuning instruction bilingual,minimal,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+6611,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6611-494669.",insurance grounded-qa fine-tuning instruction bilingual,minimal,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+6612,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6612-586177.",insurance grounded-qa fine-tuning instruction bilingual,clean,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+6613,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6613-563073.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+6614,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: data scientist; Task: robustness-check; Format: long-context; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6614-616109.",insurance grounded-qa fine-tuning instruction bilingual,stylized,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+6615,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6615-746302.",insurance grounded-qa fine-tuning instruction bilingual,minimal,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+6616,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-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: 6616-512087.",insurance grounded-qa fine-tuning instruction bilingual,minimal,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+6617,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6617-198465.",insurance grounded-qa fine-tuning instruction bilingual,clean,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+6618,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6618-720064.",insurance grounded-qa fine-tuning instruction bilingual,stylized,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+6619,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6619-337461.",insurance grounded-qa fine-tuning instruction bilingual,minimal,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+6620,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; 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: 6620-995537.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+6621,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6621-853754.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+6622,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6622-635294.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+6623,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6623-798056.",insurance grounded-qa fine-tuning instruction bilingual,stylized,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+6624,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6624-395119.",insurance grounded-qa fine-tuning instruction bilingual,clean,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+6625,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6625-192215.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+6626,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6626-644299.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+6627,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: data scientist; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6627-606660.",insurance grounded-qa fine-tuning instruction bilingual,stylized,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+6628,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6628-916307.",insurance grounded-qa fine-tuning instruction bilingual,minimal,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+6629,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; 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: 6629-889729.",insurance grounded-qa fine-tuning instruction bilingual,minimal,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+6630,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6630-417008.",insurance grounded-qa fine-tuning instruction bilingual,minimal,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+6631,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; 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: 6631-722731.",insurance grounded-qa fine-tuning instruction bilingual,clean,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+6632,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; 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: 6632-847546.",insurance grounded-qa fine-tuning instruction bilingual,detailed,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+6633,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6633-823516.",insurance grounded-qa fine-tuning instruction bilingual,clean,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+6634,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6634-264068.",insurance grounded-qa fine-tuning instruction bilingual,minimal,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+6635,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; 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: 6635-758091.",insurance grounded-qa fine-tuning instruction bilingual,stylized,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+6636,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6636-572976.",insurance grounded-qa fine-tuning instruction bilingual,detailed,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+6637,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6637-232441.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+6638,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ai researcher; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6638-173250.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+6639,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: BILINGUAL; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6639-960653.",insurance grounded-qa fine-tuning instruction bilingual,minimal,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+6640,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6640-789439.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+6641,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: data scientist; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6641-145799.",insurance grounded-qa fine-tuning instruction bilingual,clean,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+6642,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; 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: 6642-553498.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+6643,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6643-481275.",insurance grounded-qa fine-tuning instruction bilingual,detailed,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+6644,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6644-653071.",insurance grounded-qa fine-tuning instruction bilingual,detailed,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+6645,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: data scientist; Task: grounding-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6645-409670.",insurance grounded-qa fine-tuning instruction bilingual,stylized,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+6646,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ml engineer; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6646-373741.",insurance grounded-qa fine-tuning instruction bilingual,minimal,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+6647,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6647-941952.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+6648,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6648-878080.",insurance grounded-qa fine-tuning instruction bilingual,minimal,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+6649,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6649-778142.",insurance grounded-qa fine-tuning instruction bilingual,minimal,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+6650,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6650-969426.",insurance grounded-qa fine-tuning instruction bilingual,stylized,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+6651,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6651-602946.",insurance grounded-qa fine-tuning instruction bilingual,minimal,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+6652,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6652-869000.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+6653,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6653-631011.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+6654,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: data scientist; Task: quality-check; Format: long-context; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6654-657487.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+6655,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6655-249931.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+6656,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6656-188890.",insurance grounded-qa fine-tuning instruction bilingual,clean,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+6657,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-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: 6657-960981.",insurance grounded-qa fine-tuning instruction bilingual,minimal,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+6658,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ml engineer; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6658-219162.",insurance grounded-qa fine-tuning instruction bilingual,detailed,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+6659,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: data scientist; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6659-142041.",insurance grounded-qa fine-tuning instruction bilingual,stylized,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+6660,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6660-337999.",insurance grounded-qa fine-tuning instruction bilingual,detailed,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+6661,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; 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: 6661-466370.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+6662,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6662-329759.",insurance grounded-qa fine-tuning instruction bilingual,detailed,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+6663,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6663-154099.",insurance grounded-qa fine-tuning instruction bilingual,minimal,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+6664,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6664-796318.",insurance grounded-qa fine-tuning instruction bilingual,minimal,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+6665,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6665-778668.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+6666,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; 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: 6666-343554.",insurance grounded-qa fine-tuning instruction bilingual,clean,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+6667,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-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: 6667-230481.",insurance grounded-qa fine-tuning instruction bilingual,clean,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+6668,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-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: 6668-667030.",insurance grounded-qa fine-tuning instruction bilingual,stylized,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+6669,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; 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: 6669-558210.",insurance grounded-qa fine-tuning instruction bilingual,detailed,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+6670,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6670-824702.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+6671,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6671-334299.",insurance grounded-qa fine-tuning instruction bilingual,clean,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+6672,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6672-974262.",insurance grounded-qa fine-tuning instruction bilingual,clean,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+6673,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; 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: 6673-641300.",insurance grounded-qa fine-tuning instruction bilingual,detailed,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+6674,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6674-178032.",insurance grounded-qa fine-tuning instruction bilingual,stylized,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+6675,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6675-438830.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+6676,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6676-130379.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+6677,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6677-167463.",insurance grounded-qa fine-tuning instruction bilingual,detailed,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+6678,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6678-145652.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+6679,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6679-178432.",insurance grounded-qa fine-tuning instruction bilingual,stylized,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+6680,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6680-626211.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+6681,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6681-162835.",insurance grounded-qa fine-tuning instruction bilingual,detailed,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+6682,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6682-996605.",insurance grounded-qa fine-tuning instruction bilingual,minimal,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+6683,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: BILINGUAL; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6683-800257.",insurance grounded-qa fine-tuning instruction bilingual,minimal,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+6684,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; 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: 6684-721806.",insurance grounded-qa fine-tuning instruction bilingual,clean,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+6685,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: data scientist; Task: benchmarking; Format: long-context; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6685-673005.",insurance grounded-qa fine-tuning instruction bilingual,stylized,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+6686,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6686-876693.",insurance grounded-qa fine-tuning instruction bilingual,clean,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+6687,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6687-143091.",insurance grounded-qa fine-tuning instruction bilingual,detailed,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+6688,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: BILINGUAL; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6688-540562.",insurance grounded-qa fine-tuning instruction bilingual,stylized,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+6689,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: data scientist; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6689-905513.",insurance grounded-qa fine-tuning instruction bilingual,stylized,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+6690,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6690-256447.",insurance grounded-qa fine-tuning instruction bilingual,detailed,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+6691,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-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: 6691-286723.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+6692,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-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: 6692-877687.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+6693,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6693-349498.",insurance grounded-qa fine-tuning instruction bilingual,minimal,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+6694,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; 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: 6694-906132.",insurance grounded-qa fine-tuning instruction bilingual,clean,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+6695,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6695-780395.",insurance grounded-qa fine-tuning instruction bilingual,detailed,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+6696,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6696-473246.",insurance grounded-qa fine-tuning instruction bilingual,clean,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+6697,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: BILINGUAL; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6697-301499.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+6698,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; 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: 6698-253061.",insurance grounded-qa fine-tuning instruction bilingual,clean,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+6699,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6699-411486.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+6700,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-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: 6700-853450.",insurance grounded-qa fine-tuning instruction bilingual,minimal,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+6701,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6701-114269.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+6702,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; 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: 6702-366132.",insurance grounded-qa fine-tuning instruction bilingual,minimal,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+6703,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6703-795284.",insurance grounded-qa fine-tuning instruction bilingual,stylized,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+6704,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6704-436690.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+6705,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6705-401584.",insurance grounded-qa fine-tuning instruction bilingual,detailed,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+6706,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6706-454892.",insurance grounded-qa fine-tuning instruction bilingual,detailed,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+6707,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6707-127132.",insurance grounded-qa fine-tuning instruction bilingual,clean,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+6708,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: BILINGUAL; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6708-694012.",insurance grounded-qa fine-tuning instruction bilingual,minimal,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+6709,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6709-357197.",insurance grounded-qa fine-tuning instruction bilingual,clean,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+6710,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-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: 6710-406963.",insurance grounded-qa fine-tuning instruction bilingual,minimal,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+6711,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6711-840022.",insurance grounded-qa fine-tuning instruction bilingual,stylized,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+6712,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6712-988498.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+6713,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6713-781893.",insurance grounded-qa fine-tuning instruction bilingual,detailed,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+6714,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6714-133830.",insurance grounded-qa fine-tuning instruction bilingual,clean,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+6715,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; 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: 6715-318176.",insurance grounded-qa fine-tuning instruction bilingual,clean,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+6716,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6716-629107.",insurance grounded-qa fine-tuning instruction bilingual,clean,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+6717,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ai researcher; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6717-483573.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+6718,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: data scientist; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6718-215666.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+6719,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; 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: 6719-495824.",insurance grounded-qa fine-tuning instruction bilingual,clean,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+6720,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6720-601186.",insurance grounded-qa fine-tuning instruction bilingual,detailed,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+6721,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6721-279085.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+6722,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6722-804501.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+6723,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6723-917865.",insurance grounded-qa fine-tuning instruction bilingual,minimal,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+6724,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6724-544218.",insurance grounded-qa fine-tuning instruction bilingual,minimal,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+6725,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6725-760238.",insurance grounded-qa fine-tuning instruction bilingual,minimal,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+6726,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: BILINGUAL; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6726-585207.",insurance grounded-qa fine-tuning instruction bilingual,stylized,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+6727,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6727-981427.",insurance grounded-qa fine-tuning instruction bilingual,detailed,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+6728,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6728-511834.",insurance grounded-qa fine-tuning instruction bilingual,clean,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+6729,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ai researcher; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6729-219933.",insurance grounded-qa fine-tuning instruction bilingual,stylized,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+6730,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6730-323625.",insurance grounded-qa fine-tuning instruction bilingual,detailed,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+6731,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; 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: 6731-490378.",insurance grounded-qa fine-tuning instruction bilingual,stylized,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+6732,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6732-870879.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+6733,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6733-839726.",insurance grounded-qa fine-tuning instruction bilingual,detailed,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+6734,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6734-661350.",insurance grounded-qa fine-tuning instruction bilingual,clean,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+6735,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6735-326914.",insurance grounded-qa fine-tuning instruction bilingual,clean,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+6736,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6736-928307.",insurance grounded-qa fine-tuning instruction bilingual,minimal,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+6737,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6737-319420.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+6738,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: data scientist; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6738-453548.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+6739,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-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: 6739-663499.",insurance grounded-qa fine-tuning instruction bilingual,detailed,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+6740,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6740-626612.",insurance grounded-qa fine-tuning instruction bilingual,minimal,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+6741,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; 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: 6741-958276.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+6742,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6742-936231.",insurance grounded-qa fine-tuning instruction bilingual,stylized,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+6743,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6743-618412.",insurance grounded-qa fine-tuning instruction bilingual,stylized,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+6744,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6744-684294.",insurance grounded-qa fine-tuning instruction bilingual,clean,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+6745,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6745-205758.",insurance grounded-qa fine-tuning instruction bilingual,stylized,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+6746,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6746-196390.",insurance grounded-qa fine-tuning instruction bilingual,stylized,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+6747,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: data scientist; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6747-171069.",insurance grounded-qa fine-tuning instruction bilingual,clean,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+6748,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6748-941782.",insurance grounded-qa fine-tuning instruction bilingual,minimal,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+6749,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6749-336342.",insurance grounded-qa fine-tuning instruction bilingual,stylized,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+6750,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; 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: 6750-686568.",insurance grounded-qa fine-tuning instruction bilingual,stylized,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+6751,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6751-310145.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+6752,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6752-611151.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+6753,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6753-114597.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+6754,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-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: 6754-834910.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+6755,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-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: 6755-718740.",insurance grounded-qa fine-tuning instruction bilingual,minimal,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+6756,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6756-273427.",insurance grounded-qa fine-tuning instruction bilingual,minimal,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+6757,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6757-476378.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+6758,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6758-954350.",insurance grounded-qa fine-tuning instruction bilingual,minimal,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+6759,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: platform engineer; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6759-644353.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+6760,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-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: 6760-868440.",insurance grounded-qa fine-tuning instruction bilingual,minimal,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+6761,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: data scientist; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6761-662320.",insurance grounded-qa fine-tuning instruction bilingual,minimal,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+6762,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6762-647682.",insurance grounded-qa fine-tuning instruction bilingual,detailed,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+6763,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6763-229701.",insurance grounded-qa fine-tuning instruction bilingual,detailed,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+6764,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6764-222583.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+6765,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6765-223236.",insurance grounded-qa fine-tuning instruction bilingual,detailed,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+6766,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; 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: 6766-132292.",insurance grounded-qa fine-tuning instruction bilingual,minimal,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+6767,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6767-151078.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+6768,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6768-302835.",insurance grounded-qa fine-tuning instruction bilingual,stylized,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+6769,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6769-124544.",insurance grounded-qa fine-tuning instruction bilingual,stylized,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+6770,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; 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: 6770-347073.",insurance grounded-qa fine-tuning instruction bilingual,minimal,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+6771,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6771-590620.",insurance grounded-qa fine-tuning instruction bilingual,stylized,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+6772,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6772-254158.",insurance grounded-qa fine-tuning instruction bilingual,minimal,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+6773,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; 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: 6773-701046.",insurance grounded-qa fine-tuning instruction bilingual,stylized,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+6774,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6774-598429.",insurance grounded-qa fine-tuning instruction bilingual,stylized,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+6775,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6775-969402.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+6776,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; 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: 6776-549071.",insurance grounded-qa fine-tuning instruction bilingual,detailed,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+6777,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6777-775636.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+6778,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6778-391142.",insurance grounded-qa fine-tuning instruction bilingual,clean,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+6779,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6779-313022.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+6780,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6780-771821.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+6781,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6781-223412.",insurance grounded-qa fine-tuning instruction bilingual,detailed,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+6782,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: BILINGUAL; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6782-591018.",insurance grounded-qa fine-tuning instruction bilingual,stylized,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+6783,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6783-866692.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+6784,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: BILINGUAL; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6784-945137.",insurance grounded-qa fine-tuning instruction bilingual,stylized,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+6785,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ml engineer; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6785-207626.",insurance grounded-qa fine-tuning instruction bilingual,detailed,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+6786,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6786-513505.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+6787,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: BILINGUAL; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6787-383838.",insurance grounded-qa fine-tuning instruction bilingual,clean,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+6788,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: BILINGUAL; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6788-397263.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+6789,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6789-233239.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+6790,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; 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: 6790-238805.",insurance grounded-qa fine-tuning instruction bilingual,clean,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+6791,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6791-780906.",insurance grounded-qa fine-tuning instruction bilingual,clean,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+6792,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6792-972661.",insurance grounded-qa fine-tuning instruction bilingual,clean,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+6793,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; 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: 6793-362316.",insurance grounded-qa fine-tuning instruction bilingual,stylized,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+6794,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6794-398446.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+6795,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ai researcher; Task: quality-check; Format: long-context; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6795-862194.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+6796,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: data scientist; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6796-580693.",insurance grounded-qa fine-tuning instruction bilingual,clean,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+6797,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6797-648914.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+6798,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: data scientist; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6798-206580.",insurance grounded-qa fine-tuning instruction bilingual,stylized,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+6799,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ai researcher; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6799-574434.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+6800,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ml engineer; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6800-429140.",insurance grounded-qa fine-tuning instruction bilingual,detailed,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+6801,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6801-119401.",insurance grounded-qa fine-tuning instruction bilingual,minimal,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+6802,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6802-124580.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+6803,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6803-706838.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+6804,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: platform engineer; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6804-660279.",insurance grounded-qa fine-tuning instruction bilingual,clean,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+6805,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6805-740504.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+6806,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6806-165397.",insurance grounded-qa fine-tuning instruction bilingual,clean,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+6807,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6807-833629.",insurance grounded-qa fine-tuning instruction bilingual,clean,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+6808,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; 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: 6808-835449.",insurance grounded-qa fine-tuning instruction bilingual,clean,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+6809,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6809-453263.",insurance grounded-qa fine-tuning instruction bilingual,stylized,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+6810,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6810-843891.",insurance grounded-qa fine-tuning instruction bilingual,detailed,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+6811,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: BILINGUAL; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6811-861149.",insurance grounded-qa fine-tuning instruction bilingual,stylized,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+6812,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; 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: 6812-936940.",insurance grounded-qa fine-tuning instruction bilingual,minimal,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+6813,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6813-283779.",insurance grounded-qa fine-tuning instruction bilingual,stylized,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+6814,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-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: 6814-636638.",insurance grounded-qa fine-tuning instruction bilingual,minimal,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+6815,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: BILINGUAL; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6815-208887.",insurance grounded-qa fine-tuning instruction bilingual,minimal,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+6816,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6816-574518.",insurance grounded-qa fine-tuning instruction bilingual,clean,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+6817,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-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: 6817-362659.",insurance grounded-qa fine-tuning instruction bilingual,minimal,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+6818,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; 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: 6818-765764.",insurance grounded-qa fine-tuning instruction bilingual,minimal,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+6819,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ml engineer; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6819-456863.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+6820,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6820-387819.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+6821,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-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: 6821-421444.",insurance grounded-qa fine-tuning instruction bilingual,minimal,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+6822,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6822-164683.",insurance grounded-qa fine-tuning instruction bilingual,minimal,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+6823,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-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: 6823-404065.",insurance grounded-qa fine-tuning instruction bilingual,detailed,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+6824,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: BILINGUAL; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6824-974448.",insurance grounded-qa fine-tuning instruction bilingual,minimal,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+6825,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6825-386662.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+6826,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-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: 6826-918308.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+6827,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6827-587874.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+6828,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6828-492196.",insurance grounded-qa fine-tuning instruction bilingual,detailed,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+6829,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ml engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6829-516080.",insurance grounded-qa fine-tuning instruction bilingual,stylized,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+6830,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6830-320498.",insurance grounded-qa fine-tuning instruction bilingual,clean,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+6831,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6831-445956.",insurance grounded-qa fine-tuning instruction bilingual,minimal,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+6832,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; 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: 6832-984813.",insurance grounded-qa fine-tuning instruction bilingual,detailed,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+6833,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; 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: 6833-840372.",insurance grounded-qa fine-tuning instruction bilingual,detailed,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+6834,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6834-608856.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+6835,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6835-278696.",insurance grounded-qa fine-tuning instruction bilingual,minimal,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+6836,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; 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: 6836-921740.",insurance grounded-qa fine-tuning instruction bilingual,stylized,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+6837,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6837-657913.",insurance grounded-qa fine-tuning instruction bilingual,stylized,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+6838,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6838-256868.",insurance grounded-qa fine-tuning instruction bilingual,minimal,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+6839,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6839-724515.",insurance grounded-qa fine-tuning instruction bilingual,detailed,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+6840,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6840-446261.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+6841,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: BILINGUAL; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6841-785844.",insurance grounded-qa fine-tuning instruction bilingual,minimal,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+6842,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6842-863039.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+6843,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6843-750200.",insurance grounded-qa fine-tuning instruction bilingual,clean,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+6844,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6844-853870.",insurance grounded-qa fine-tuning instruction bilingual,stylized,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+6845,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6845-146895.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+6846,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6846-484100.",insurance grounded-qa fine-tuning instruction bilingual,minimal,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+6847,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-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: 6847-542902.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+6848,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: BILINGUAL; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6848-104633.",insurance grounded-qa fine-tuning instruction bilingual,detailed,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+6849,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6849-820268.",insurance grounded-qa fine-tuning instruction bilingual,minimal,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+6850,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: BILINGUAL; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6850-354941.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+6851,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6851-575734.",insurance grounded-qa fine-tuning instruction bilingual,clean,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+6852,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: data scientist; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6852-169496.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+6853,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6853-103311.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+6854,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6854-410611.",insurance grounded-qa fine-tuning instruction bilingual,stylized,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+6855,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6855-267191.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+6856,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-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: 6856-812802.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+6857,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; 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: 6857-229227.",insurance grounded-qa fine-tuning instruction bilingual,clean,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+6858,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6858-428044.",insurance grounded-qa fine-tuning instruction bilingual,stylized,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+6859,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6859-301011.",insurance grounded-qa fine-tuning instruction bilingual,minimal,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+6860,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6860-840840.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+6861,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6861-836587.",insurance grounded-qa fine-tuning instruction bilingual,detailed,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+6862,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: platform engineer; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6862-468258.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+6863,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6863-541088.",insurance grounded-qa fine-tuning instruction bilingual,clean,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+6864,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6864-126952.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+6865,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6865-800710.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+6866,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6866-851553.",insurance grounded-qa fine-tuning instruction bilingual,stylized,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+6867,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6867-318253.",insurance grounded-qa fine-tuning instruction bilingual,clean,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+6868,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6868-623320.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+6869,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6869-742670.",insurance grounded-qa fine-tuning instruction bilingual,detailed,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+6870,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; 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: 6870-312189.",insurance grounded-qa fine-tuning instruction bilingual,minimal,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+6871,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6871-561708.",insurance grounded-qa fine-tuning instruction bilingual,minimal,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+6872,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6872-960578.",insurance grounded-qa fine-tuning instruction bilingual,minimal,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+6873,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6873-875016.",insurance grounded-qa fine-tuning instruction bilingual,detailed,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+6874,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ml engineer; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6874-883504.",insurance grounded-qa fine-tuning instruction bilingual,minimal,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+6875,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6875-985285.",insurance grounded-qa fine-tuning instruction bilingual,stylized,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+6876,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6876-420302.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+6877,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: BILINGUAL; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6877-293597.",insurance grounded-qa fine-tuning instruction bilingual,stylized,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+6878,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ml engineer; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6878-954905.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+6879,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6879-302779.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+6880,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: BILINGUAL; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6880-183419.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+6881,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6881-702476.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+6882,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6882-815535.",insurance grounded-qa fine-tuning instruction bilingual,minimal,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+6883,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ml engineer; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6883-497501.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+6884,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6884-571811.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+6885,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6885-359390.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+6886,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; 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: 6886-570696.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+6887,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6887-390827.",insurance grounded-qa fine-tuning instruction bilingual,minimal,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+6888,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: data scientist; Task: benchmarking; Format: long-context; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6888-104209.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+6889,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6889-176142.",insurance grounded-qa fine-tuning instruction bilingual,clean,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+6890,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6890-619088.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+6891,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: BILINGUAL; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6891-480450.",insurance grounded-qa fine-tuning instruction bilingual,minimal,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+6892,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6892-912157.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+6893,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6893-951345.",insurance grounded-qa fine-tuning instruction bilingual,stylized,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+6894,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6894-479159.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+6895,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; 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: 6895-685196.",insurance grounded-qa fine-tuning instruction bilingual,minimal,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+6896,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; 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: 6896-982011.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+6897,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6897-831285.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+6898,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6898-934952.",insurance grounded-qa fine-tuning instruction bilingual,clean,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+6899,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; 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: 6899-300004.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+6900,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6900-465020.",insurance grounded-qa fine-tuning instruction bilingual,detailed,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+6901,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: BILINGUAL; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6901-816625.",insurance grounded-qa fine-tuning instruction bilingual,stylized,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+6902,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: BILINGUAL; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6902-899572.",insurance grounded-qa fine-tuning instruction bilingual,stylized,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+6903,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6903-133972.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+6904,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6904-952954.",insurance grounded-qa fine-tuning instruction bilingual,stylized,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+6905,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; 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: 6905-934433.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+6906,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6906-608388.",insurance grounded-qa fine-tuning instruction bilingual,detailed,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+6907,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6907-878029.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+6908,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6908-351150.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+6909,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6909-835267.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+6910,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6910-366799.",insurance grounded-qa fine-tuning instruction bilingual,detailed,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+6911,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: BILINGUAL; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6911-902674.",insurance grounded-qa fine-tuning instruction bilingual,stylized,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+6912,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6912-165715.",insurance grounded-qa fine-tuning instruction bilingual,clean,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+6913,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6913-284219.",insurance grounded-qa fine-tuning instruction bilingual,detailed,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+6914,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6914-989742.",insurance grounded-qa fine-tuning instruction bilingual,detailed,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+6915,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6915-461526.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+6916,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; 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: 6916-452425.",insurance grounded-qa fine-tuning instruction bilingual,stylized,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+6917,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6917-538328.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+6918,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6918-645560.",insurance grounded-qa fine-tuning instruction bilingual,clean,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+6919,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT-BR; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6919-567508.",insurance grounded-qa fine-tuning instruction bilingual,clean,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+6920,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6920-514361.",insurance grounded-qa fine-tuning instruction bilingual,stylized,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+6921,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-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: 6921-274851.",insurance grounded-qa fine-tuning instruction bilingual,clean,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+6922,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; 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: 6922-978083.",insurance grounded-qa fine-tuning instruction bilingual,clean,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+6923,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6923-742541.",insurance grounded-qa fine-tuning instruction bilingual,minimal,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+6924,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6924-617831.",insurance grounded-qa fine-tuning instruction bilingual,clean,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+6925,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6925-827014.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+6926,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: BILINGUAL; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6926-407001.",insurance grounded-qa fine-tuning instruction bilingual,stylized,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+6927,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: BILINGUAL; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6927-498165.",insurance grounded-qa fine-tuning instruction bilingual,clean,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+6928,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ai researcher; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6928-936768.",insurance grounded-qa fine-tuning instruction bilingual,clean,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+6929,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6929-720442.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+6930,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: BILINGUAL; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6930-250276.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+6931,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6931-445982.",insurance grounded-qa fine-tuning instruction bilingual,minimal,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+6932,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6932-106115.",insurance grounded-qa fine-tuning instruction bilingual,stylized,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+6933,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6933-296896.",insurance grounded-qa fine-tuning instruction bilingual,clean,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+6934,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6934-608919.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+6935,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6935-817448.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+6936,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: data scientist; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6936-503987.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+6937,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6937-745959.",insurance grounded-qa fine-tuning instruction bilingual,minimal,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+6938,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6938-772449.",insurance grounded-qa fine-tuning instruction bilingual,stylized,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+6939,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6939-894290.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+6940,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6940-305677.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+6941,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-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: 6941-758382.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+6942,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6942-580590.",insurance grounded-qa fine-tuning instruction bilingual,minimal,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+6943,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6943-927744.",insurance grounded-qa fine-tuning instruction bilingual,stylized,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+6944,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; 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: 6944-691247.",insurance grounded-qa fine-tuning instruction bilingual,minimal,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+6945,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6945-705049.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+6946,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ai researcher; Task: quality-check; Format: long-context; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6946-901114.",insurance grounded-qa fine-tuning instruction bilingual,minimal,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+6947,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6947-313749.",insurance grounded-qa fine-tuning instruction bilingual,stylized,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+6948,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6948-393537.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+6949,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6949-767302.",insurance grounded-qa fine-tuning instruction bilingual,detailed,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+6950,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6950-281617.",insurance grounded-qa fine-tuning instruction bilingual,minimal,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+6951,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6951-634583.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+6952,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6952-794117.",insurance grounded-qa fine-tuning instruction bilingual,stylized,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+6953,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: data scientist; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6953-548966.",insurance grounded-qa fine-tuning instruction bilingual,clean,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+6954,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6954-881978.",insurance grounded-qa fine-tuning instruction bilingual,detailed,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+6955,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6955-247296.",insurance grounded-qa fine-tuning instruction bilingual,stylized,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+6956,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; 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: 6956-200397.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+6957,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6957-459611.",insurance grounded-qa fine-tuning instruction bilingual,detailed,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+6958,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6958-744905.",insurance grounded-qa fine-tuning instruction bilingual,stylized,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+6959,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; 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: 6959-433190.",insurance grounded-qa fine-tuning instruction bilingual,stylized,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+6960,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6960-698255.",insurance grounded-qa fine-tuning instruction bilingual,minimal,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+6961,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; 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: 6961-833704.",insurance grounded-qa fine-tuning instruction bilingual,clean,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+6962,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: data scientist; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6962-781102.",insurance grounded-qa fine-tuning instruction bilingual,clean,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+6963,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6963-503193.",insurance grounded-qa fine-tuning instruction bilingual,minimal,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+6964,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6964-311144.",insurance grounded-qa fine-tuning instruction bilingual,clean,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+6965,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6965-718428.",insurance grounded-qa fine-tuning instruction bilingual,minimal,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+6966,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6966-133017.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+6967,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6967-874534.",insurance grounded-qa fine-tuning instruction bilingual,detailed,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+6968,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6968-143163.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+6969,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: data scientist; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6969-349603.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+6970,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6970-980755.",insurance grounded-qa fine-tuning instruction bilingual,detailed,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+6971,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6971-412923.",insurance grounded-qa fine-tuning instruction bilingual,detailed,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+6972,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6972-243890.",insurance grounded-qa fine-tuning instruction bilingual,clean,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+6973,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6973-404335.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+6974,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-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: 6974-268191.",insurance grounded-qa fine-tuning instruction bilingual,clean,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+6975,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; 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: 6975-115351.",insurance grounded-qa fine-tuning instruction bilingual,stylized,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+6976,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6976-468466.",insurance grounded-qa fine-tuning instruction bilingual,minimal,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+6977,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6977-541743.",insurance grounded-qa fine-tuning instruction bilingual,detailed,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+6978,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6978-125531.",insurance grounded-qa fine-tuning instruction bilingual,minimal,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+6979,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6979-953332.",insurance grounded-qa fine-tuning instruction bilingual,clean,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+6980,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: BILINGUAL; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6980-334719.",insurance grounded-qa fine-tuning instruction bilingual,minimal,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+6981,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6981-808982.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+6982,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6982-124634.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+6983,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; 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: 6983-227140.",insurance grounded-qa fine-tuning instruction bilingual,minimal,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+6984,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: BILINGUAL; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6984-471879.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+6985,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: data scientist; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6985-659796.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+6986,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: data scientist; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6986-118422.",insurance grounded-qa fine-tuning instruction bilingual,minimal,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+6987,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6987-367156.",insurance grounded-qa fine-tuning instruction bilingual,minimal,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+6988,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6988-757512.",insurance grounded-qa fine-tuning instruction bilingual,clean,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+6989,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6989-427586.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+6990,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-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: 6990-570970.",insurance grounded-qa fine-tuning instruction bilingual,detailed,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+6991,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6991-258372.",insurance grounded-qa fine-tuning instruction bilingual,stylized,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+6992,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6992-260856.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+6993,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6993-291154.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+6994,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6994-580413.",insurance grounded-qa fine-tuning instruction bilingual,stylized,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+6995,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6995-180866.",insurance grounded-qa fine-tuning instruction bilingual,minimal,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+6996,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6996-904832.",insurance grounded-qa fine-tuning instruction bilingual,minimal,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+6997,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: data scientist; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6997-414215.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+6998,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6998-152065.",insurance grounded-qa fine-tuning instruction bilingual,clean,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+6999,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6999-692138.",insurance grounded-qa fine-tuning instruction bilingual,minimal,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+7000,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: BILINGUAL; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7000-229901.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+7001,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7001-849870.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+7002,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7002-837821.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+7003,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7003-356720.",insurance grounded-qa fine-tuning instruction bilingual,stylized,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+7004,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7004-399003.",insurance grounded-qa fine-tuning instruction bilingual,clean,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+7005,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ml engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7005-881774.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+7006,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7006-929313.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+7007,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7007-269636.",insurance grounded-qa fine-tuning instruction bilingual,stylized,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+7008,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: data scientist; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7008-770396.",insurance grounded-qa fine-tuning instruction bilingual,detailed,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+7009,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7009-488345.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+7010,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7010-665161.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+7011,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7011-432300.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+7012,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ml engineer; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7012-209312.",insurance grounded-qa fine-tuning instruction bilingual,stylized,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+7013,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; 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: 7013-103727.",insurance grounded-qa fine-tuning instruction bilingual,minimal,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+7014,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7014-373944.",insurance grounded-qa fine-tuning instruction bilingual,stylized,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+7015,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7015-650753.",insurance grounded-qa fine-tuning instruction bilingual,stylized,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+7016,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7016-853565.",insurance grounded-qa fine-tuning instruction bilingual,minimal,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+7017,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7017-822565.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+7018,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7018-137023.",insurance grounded-qa fine-tuning instruction bilingual,clean,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+7019,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ml engineer; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7019-188397.",insurance grounded-qa fine-tuning instruction bilingual,minimal,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+7020,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7020-886408.",insurance grounded-qa fine-tuning instruction bilingual,stylized,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+7021,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7021-641149.",insurance grounded-qa fine-tuning instruction bilingual,detailed,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+7022,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7022-903374.",insurance grounded-qa fine-tuning instruction bilingual,minimal,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+7023,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: platform engineer; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7023-770759.",insurance grounded-qa fine-tuning instruction bilingual,clean,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+7024,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7024-813853.",insurance grounded-qa fine-tuning instruction bilingual,detailed,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+7025,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7025-133553.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+7026,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7026-330918.",insurance grounded-qa fine-tuning instruction bilingual,minimal,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+7027,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7027-887278.",insurance grounded-qa fine-tuning instruction bilingual,minimal,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+7028,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7028-960010.",insurance grounded-qa fine-tuning instruction bilingual,clean,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+7029,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7029-359439.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+7030,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7030-719431.",insurance grounded-qa fine-tuning instruction bilingual,stylized,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+7031,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: platform engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7031-853096.",insurance grounded-qa fine-tuning instruction bilingual,detailed,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+7032,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; 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: 7032-266754.",insurance grounded-qa fine-tuning instruction bilingual,detailed,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+7033,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-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: 7033-101403.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+7034,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: BILINGUAL; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7034-437664.",insurance grounded-qa fine-tuning instruction bilingual,clean,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+7035,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: data scientist; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7035-706014.",insurance grounded-qa fine-tuning instruction bilingual,detailed,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+7036,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-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: 7036-405017.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+7037,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7037-632755.",insurance grounded-qa fine-tuning instruction bilingual,clean,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+7038,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7038-440184.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+7039,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7039-637435.",insurance grounded-qa fine-tuning instruction bilingual,detailed,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+7040,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ml engineer; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7040-223007.",insurance grounded-qa fine-tuning instruction bilingual,clean,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+7041,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ml engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7041-958575.",insurance grounded-qa fine-tuning instruction bilingual,clean,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+7042,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; 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: 7042-237111.",insurance grounded-qa fine-tuning instruction bilingual,stylized,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+7043,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7043-502311.",insurance grounded-qa fine-tuning instruction bilingual,clean,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+7044,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; 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: 7044-910980.",insurance grounded-qa fine-tuning instruction bilingual,detailed,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+7045,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; 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: 7045-248011.",insurance grounded-qa fine-tuning instruction bilingual,detailed,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+7046,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7046-428201.",insurance grounded-qa fine-tuning instruction bilingual,detailed,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+7047,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7047-555079.",insurance grounded-qa fine-tuning instruction bilingual,detailed,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+7048,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7048-773399.",insurance grounded-qa fine-tuning instruction bilingual,detailed,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+7049,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7049-825343.",insurance grounded-qa fine-tuning instruction bilingual,clean,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+7050,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7050-253582.",insurance grounded-qa fine-tuning instruction bilingual,detailed,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+7051,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: BILINGUAL; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7051-658195.",insurance grounded-qa fine-tuning instruction bilingual,minimal,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+7052,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; 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: 7052-333401.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+7053,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7053-712658.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+7054,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7054-992303.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+7055,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: data scientist; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7055-426464.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+7056,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7056-326808.",insurance grounded-qa fine-tuning instruction bilingual,detailed,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+7057,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7057-693689.",insurance grounded-qa fine-tuning instruction bilingual,minimal,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+7058,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ml engineer; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7058-855650.",insurance grounded-qa fine-tuning instruction bilingual,minimal,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+7059,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7059-507492.",insurance grounded-qa fine-tuning instruction bilingual,clean,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+7060,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7060-665781.",insurance grounded-qa fine-tuning instruction bilingual,detailed,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+7061,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7061-817345.",insurance grounded-qa fine-tuning instruction bilingual,stylized,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+7062,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: data scientist; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7062-488566.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+7063,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; 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: 7063-186819.",insurance grounded-qa fine-tuning instruction bilingual,stylized,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+7064,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7064-624059.",insurance grounded-qa fine-tuning instruction bilingual,clean,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+7065,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: BILINGUAL; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7065-616304.",insurance grounded-qa fine-tuning instruction bilingual,stylized,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+7066,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7066-971828.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+7067,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7067-468944.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+7068,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7068-726788.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+7069,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7069-188894.",insurance grounded-qa fine-tuning instruction bilingual,detailed,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+7070,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: BILINGUAL; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7070-636313.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+7071,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-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: 7071-706615.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+7072,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7072-820289.",insurance grounded-qa fine-tuning instruction bilingual,clean,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+7073,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7073-693342.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+7074,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: data scientist; Task: grounding-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7074-738951.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+7075,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-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: 7075-274911.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+7076,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7076-949462.",insurance grounded-qa fine-tuning instruction bilingual,minimal,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+7077,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ai researcher; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7077-985461.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+7078,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: BILINGUAL; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7078-234767.",insurance grounded-qa fine-tuning instruction bilingual,detailed,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+7079,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: data scientist; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7079-816949.",insurance grounded-qa fine-tuning instruction bilingual,clean,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+7080,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7080-862607.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+7081,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-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: 7081-181651.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+7082,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7082-922649.",insurance grounded-qa fine-tuning instruction bilingual,detailed,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+7083,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; 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: 7083-192726.",insurance grounded-qa fine-tuning instruction bilingual,clean,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+7084,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7084-502312.",insurance grounded-qa fine-tuning instruction bilingual,detailed,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+7085,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7085-691806.",insurance grounded-qa fine-tuning instruction bilingual,minimal,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+7086,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7086-457882.",insurance grounded-qa fine-tuning instruction bilingual,clean,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+7087,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7087-798079.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+7088,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7088-581257.",insurance grounded-qa fine-tuning instruction bilingual,clean,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+7089,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: BILINGUAL; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7089-852263.",insurance grounded-qa fine-tuning instruction bilingual,clean,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+7090,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7090-937523.",insurance grounded-qa fine-tuning instruction bilingual,stylized,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+7091,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7091-648445.",insurance grounded-qa fine-tuning instruction bilingual,detailed,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+7092,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7092-982293.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+7093,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: BILINGUAL; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7093-296263.",insurance grounded-qa fine-tuning instruction bilingual,stylized,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+7094,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7094-216361.",insurance grounded-qa fine-tuning instruction bilingual,detailed,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+7095,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7095-314886.",insurance grounded-qa fine-tuning instruction bilingual,clean,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+7096,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7096-205103.",insurance grounded-qa fine-tuning instruction bilingual,minimal,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+7097,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7097-848416.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+7098,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; 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: 7098-426048.",insurance grounded-qa fine-tuning instruction bilingual,stylized,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+7099,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: data scientist; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7099-544847.",insurance grounded-qa fine-tuning instruction bilingual,minimal,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+7100,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ml engineer; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7100-285947.",insurance grounded-qa fine-tuning instruction bilingual,clean,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+7101,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: data scientist; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7101-629577.",insurance grounded-qa fine-tuning instruction bilingual,minimal,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+7102,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: BILINGUAL; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7102-427613.",insurance grounded-qa fine-tuning instruction bilingual,stylized,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+7103,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7103-521293.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+7104,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7104-689442.",insurance grounded-qa fine-tuning instruction bilingual,minimal,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+7105,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7105-681618.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+7106,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; 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: 7106-942342.",insurance grounded-qa fine-tuning instruction bilingual,detailed,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+7107,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7107-263845.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+7108,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: BILINGUAL; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7108-952804.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+7109,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-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: 7109-771922.",insurance grounded-qa fine-tuning instruction bilingual,clean,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+7110,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; 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: 7110-793979.",insurance grounded-qa fine-tuning instruction bilingual,clean,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+7111,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7111-467793.",insurance grounded-qa fine-tuning instruction bilingual,minimal,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+7112,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7112-487856.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+7113,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7113-804959.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+7114,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7114-199542.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+7115,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ml engineer; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7115-819153.",insurance grounded-qa fine-tuning instruction bilingual,clean,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+7116,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7116-854867.",insurance grounded-qa fine-tuning instruction bilingual,clean,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+7117,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7117-317450.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+7118,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7118-784561.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+7119,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: data scientist; Task: grounding-check; Format: long-context; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7119-216616.",insurance grounded-qa fine-tuning instruction bilingual,minimal,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+7120,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7120-486650.",insurance grounded-qa fine-tuning instruction bilingual,stylized,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+7121,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; 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: 7121-293156.",insurance grounded-qa fine-tuning instruction bilingual,stylized,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+7122,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7122-569054.",insurance grounded-qa fine-tuning instruction bilingual,detailed,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+7123,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-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: 7123-666668.",insurance grounded-qa fine-tuning instruction bilingual,stylized,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+7124,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7124-435238.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+7125,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7125-846184.",insurance grounded-qa fine-tuning instruction bilingual,detailed,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+7126,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7126-943158.",insurance grounded-qa fine-tuning instruction bilingual,stylized,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+7127,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7127-639244.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+7128,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; 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: 7128-136464.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+7129,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7129-261095.",insurance grounded-qa fine-tuning instruction bilingual,minimal,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+7130,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-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: 7130-216255.",insurance grounded-qa fine-tuning instruction bilingual,detailed,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+7131,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: data scientist; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7131-260490.",insurance grounded-qa fine-tuning instruction bilingual,stylized,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+7132,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7132-279021.",insurance grounded-qa fine-tuning instruction bilingual,clean,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+7133,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-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: 7133-867876.",insurance grounded-qa fine-tuning instruction bilingual,clean,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+7134,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ai researcher; Task: quality-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7134-393124.",insurance grounded-qa fine-tuning instruction bilingual,stylized,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+7135,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; 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: 7135-726537.",insurance grounded-qa fine-tuning instruction bilingual,stylized,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+7136,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: BILINGUAL; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7136-712414.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+7137,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: data scientist; Task: benchmarking; Format: long-context; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7137-120016.",insurance grounded-qa fine-tuning instruction bilingual,minimal,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+7138,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7138-945038.",insurance grounded-qa fine-tuning instruction bilingual,clean,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+7139,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7139-111043.",insurance grounded-qa fine-tuning instruction bilingual,clean,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+7140,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7140-362138.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+7141,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; 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: 7141-826544.",insurance grounded-qa fine-tuning instruction bilingual,minimal,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+7142,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7142-208927.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+7143,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: data scientist; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7143-967135.",insurance grounded-qa fine-tuning instruction bilingual,minimal,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+7144,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7144-181297.",insurance grounded-qa fine-tuning instruction bilingual,stylized,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+7145,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7145-301305.",insurance grounded-qa fine-tuning instruction bilingual,stylized,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+7146,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7146-763208.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+7147,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7147-842816.",insurance grounded-qa fine-tuning instruction bilingual,stylized,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+7148,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7148-688929.",insurance grounded-qa fine-tuning instruction bilingual,stylized,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+7149,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7149-257046.",insurance grounded-qa fine-tuning instruction bilingual,minimal,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+7150,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7150-452627.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+7151,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7151-319509.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+7152,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; 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: 7152-388329.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+7153,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7153-586705.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+7154,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7154-734172.",insurance grounded-qa fine-tuning instruction bilingual,stylized,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+7155,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; 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: 7155-491753.",insurance grounded-qa fine-tuning instruction bilingual,stylized,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+7156,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-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: 7156-803206.",insurance grounded-qa fine-tuning instruction bilingual,clean,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+7157,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: data scientist; Task: grounding-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7157-131385.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+7158,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-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: 7158-602769.",insurance grounded-qa fine-tuning instruction bilingual,stylized,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+7159,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-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: 7159-920002.",insurance grounded-qa fine-tuning instruction bilingual,minimal,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+7160,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; 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: 7160-423726.",insurance grounded-qa fine-tuning instruction bilingual,clean,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+7161,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7161-763602.",insurance grounded-qa fine-tuning instruction bilingual,stylized,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+7162,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7162-962333.",insurance grounded-qa fine-tuning instruction bilingual,minimal,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+7163,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7163-548229.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+7164,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7164-115619.",insurance grounded-qa fine-tuning instruction bilingual,clean,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+7165,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7165-387048.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+7166,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7166-901581.",insurance grounded-qa fine-tuning instruction bilingual,clean,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+7167,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7167-482487.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+7168,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7168-609878.",insurance grounded-qa fine-tuning instruction bilingual,minimal,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+7169,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7169-117765.",insurance grounded-qa fine-tuning instruction bilingual,clean,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+7170,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7170-243651.",insurance grounded-qa fine-tuning instruction bilingual,minimal,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+7171,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7171-841748.",insurance grounded-qa fine-tuning instruction bilingual,detailed,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+7172,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: BILINGUAL; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7172-565156.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+7173,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7173-230065.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+7174,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7174-530414.",insurance grounded-qa fine-tuning instruction bilingual,stylized,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+7175,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7175-392679.",insurance grounded-qa fine-tuning instruction bilingual,minimal,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+7176,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7176-874857.",insurance grounded-qa fine-tuning instruction bilingual,minimal,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+7177,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7177-801467.",insurance grounded-qa fine-tuning instruction bilingual,detailed,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+7178,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ai researcher; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7178-290308.",insurance grounded-qa fine-tuning instruction bilingual,detailed,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+7179,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: data scientist; Task: grounding-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7179-379260.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+7180,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7180-104382.",insurance grounded-qa fine-tuning instruction bilingual,minimal,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+7181,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; 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: 7181-918206.",insurance grounded-qa fine-tuning instruction bilingual,minimal,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+7182,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7182-612739.",insurance grounded-qa fine-tuning instruction bilingual,stylized,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+7183,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: data scientist; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7183-314119.",insurance grounded-qa fine-tuning instruction bilingual,detailed,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+7184,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7184-267626.",insurance grounded-qa fine-tuning instruction bilingual,stylized,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+7185,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; 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: 7185-945827.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+7186,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7186-257127.",insurance grounded-qa fine-tuning instruction bilingual,minimal,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+7187,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7187-108671.",insurance grounded-qa fine-tuning instruction bilingual,clean,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+7188,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: BILINGUAL; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7188-708270.",insurance grounded-qa fine-tuning instruction bilingual,minimal,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+7189,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7189-724069.",insurance grounded-qa fine-tuning instruction bilingual,clean,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+7190,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7190-642505.",insurance grounded-qa fine-tuning instruction bilingual,clean,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+7191,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7191-127318.",insurance grounded-qa fine-tuning instruction bilingual,minimal,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+7192,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7192-373007.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+7193,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7193-690252.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+7194,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7194-116928.",insurance grounded-qa fine-tuning instruction bilingual,clean,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+7195,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7195-534701.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+7196,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7196-490139.",insurance grounded-qa fine-tuning instruction bilingual,clean,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+7197,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7197-968207.",insurance grounded-qa fine-tuning instruction bilingual,stylized,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+7198,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7198-814654.",insurance grounded-qa fine-tuning instruction bilingual,minimal,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+7199,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; 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: 7199-266849.",insurance grounded-qa fine-tuning instruction bilingual,minimal,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+7200,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: BILINGUAL; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7200-908095.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+7201,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7201-937960.",insurance grounded-qa fine-tuning instruction bilingual,clean,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+7202,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7202-453680.",insurance grounded-qa fine-tuning instruction bilingual,stylized,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+7203,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7203-510076.",insurance grounded-qa fine-tuning instruction bilingual,detailed,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+7204,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7204-608811.",insurance grounded-qa fine-tuning instruction bilingual,detailed,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+7205,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7205-679774.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+7206,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7206-255413.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+7207,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; 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: 7207-478364.",insurance grounded-qa fine-tuning instruction bilingual,stylized,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+7208,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-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: 7208-645357.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+7209,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7209-922012.",insurance grounded-qa fine-tuning instruction bilingual,stylized,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+7210,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7210-101111.",insurance grounded-qa fine-tuning instruction bilingual,clean,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+7211,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7211-604194.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+7212,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7212-557973.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+7213,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; 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: 7213-412527.",insurance grounded-qa fine-tuning instruction bilingual,stylized,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+7214,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7214-553158.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+7215,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; 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: 7215-719512.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+7216,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: data scientist; Task: grounding-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7216-672410.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+7217,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; 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: 7217-640299.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+7218,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; 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: 7218-311567.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+7219,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7219-120005.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+7220,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7220-609731.",insurance grounded-qa fine-tuning instruction bilingual,stylized,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+7221,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; 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: 7221-335815.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+7222,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7222-951365.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+7223,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: data scientist; Task: grounding-check; Format: long-context; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7223-319555.",insurance grounded-qa fine-tuning instruction bilingual,detailed,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+7224,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7224-380219.",insurance grounded-qa fine-tuning instruction bilingual,clean,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+7225,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: BILINGUAL; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7225-949989.",insurance grounded-qa fine-tuning instruction bilingual,stylized,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+7226,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7226-710048.",insurance grounded-qa fine-tuning instruction bilingual,clean,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+7227,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7227-838117.",insurance grounded-qa fine-tuning instruction bilingual,detailed,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+7228,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-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: 7228-379612.",insurance grounded-qa fine-tuning instruction bilingual,stylized,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+7229,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; 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: 7229-394724.",insurance grounded-qa fine-tuning instruction bilingual,stylized,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+7230,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7230-147621.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+7231,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7231-300589.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+7232,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ai researcher; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7232-671897.",insurance grounded-qa fine-tuning instruction bilingual,detailed,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+7233,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ai researcher; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7233-783596.",insurance grounded-qa fine-tuning instruction bilingual,detailed,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+7234,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: data scientist; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7234-498535.",insurance grounded-qa fine-tuning instruction bilingual,stylized,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+7235,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7235-977301.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+7236,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7236-302534.",insurance grounded-qa fine-tuning instruction bilingual,stylized,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+7237,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-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: 7237-276591.",insurance grounded-qa fine-tuning instruction bilingual,detailed,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+7238,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: data scientist; Task: robustness-check; Format: long-context; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7238-170442.",insurance grounded-qa fine-tuning instruction bilingual,detailed,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+7239,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; 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: 7239-204284.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+7240,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7240-211669.",insurance grounded-qa fine-tuning instruction bilingual,detailed,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+7241,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: data scientist; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7241-833816.",insurance grounded-qa fine-tuning instruction bilingual,stylized,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+7242,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: data scientist; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7242-476949.",insurance grounded-qa fine-tuning instruction bilingual,clean,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+7243,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7243-147737.",insurance grounded-qa fine-tuning instruction bilingual,stylized,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+7244,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7244-851286.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+7245,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; 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: 7245-485179.",insurance grounded-qa fine-tuning instruction bilingual,clean,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+7246,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7246-716575.",insurance grounded-qa fine-tuning instruction bilingual,detailed,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+7247,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: data scientist; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7247-368900.",insurance grounded-qa fine-tuning instruction bilingual,minimal,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+7248,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ai researcher; Task: quality-check; Format: long-context; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7248-841439.",insurance grounded-qa fine-tuning instruction bilingual,minimal,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+7249,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: data scientist; Task: quality-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7249-939838.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+7250,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; 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: 7250-360505.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+7251,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7251-907023.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+7252,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7252-995834.",insurance grounded-qa fine-tuning instruction bilingual,stylized,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+7253,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: data scientist; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7253-853793.",insurance grounded-qa fine-tuning instruction bilingual,minimal,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+7254,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; 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: 7254-502467.",insurance grounded-qa fine-tuning instruction bilingual,minimal,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+7255,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7255-697201.",insurance grounded-qa fine-tuning instruction bilingual,minimal,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+7256,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7256-812341.",insurance grounded-qa fine-tuning instruction bilingual,stylized,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+7257,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: BILINGUAL; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7257-393606.",insurance grounded-qa fine-tuning instruction bilingual,stylized,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+7258,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7258-936139.",insurance grounded-qa fine-tuning instruction bilingual,clean,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+7259,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7259-174753.",insurance grounded-qa fine-tuning instruction bilingual,detailed,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+7260,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: BILINGUAL; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7260-722774.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+7261,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7261-338155.",insurance grounded-qa fine-tuning instruction bilingual,stylized,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+7262,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7262-652688.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+7263,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: BILINGUAL; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7263-517582.",insurance grounded-qa fine-tuning instruction bilingual,detailed,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+7264,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7264-261273.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+7265,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: data scientist; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7265-623341.",insurance grounded-qa fine-tuning instruction bilingual,minimal,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+7266,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ml engineer; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7266-368953.",insurance grounded-qa fine-tuning instruction bilingual,detailed,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+7267,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ai researcher; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7267-362578.",insurance grounded-qa fine-tuning instruction bilingual,minimal,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+7268,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7268-238749.",insurance grounded-qa fine-tuning instruction bilingual,detailed,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+7269,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: platform engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7269-520397.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+7270,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7270-867263.",insurance grounded-qa fine-tuning instruction bilingual,minimal,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+7271,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7271-678229.",insurance grounded-qa fine-tuning instruction bilingual,minimal,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+7272,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; 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: 7272-622515.",insurance grounded-qa fine-tuning instruction bilingual,minimal,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+7273,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7273-411783.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+7274,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; 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: 7274-158579.",insurance grounded-qa fine-tuning instruction bilingual,stylized,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+7275,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7275-946454.",insurance grounded-qa fine-tuning instruction bilingual,stylized,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+7276,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ai researcher; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7276-811051.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+7277,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; 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: 7277-545934.",insurance grounded-qa fine-tuning instruction bilingual,minimal,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+7278,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7278-136918.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+7279,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7279-929515.",insurance grounded-qa fine-tuning instruction bilingual,detailed,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+7280,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; 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: 7280-976192.",insurance grounded-qa fine-tuning instruction bilingual,minimal,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+7281,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: data scientist; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7281-567514.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+7282,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7282-290317.",insurance grounded-qa fine-tuning instruction bilingual,clean,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+7283,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-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: 7283-965680.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+7284,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: BILINGUAL; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7284-293546.",insurance grounded-qa fine-tuning instruction bilingual,stylized,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+7285,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-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: 7285-937275.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+7286,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7286-305263.",insurance grounded-qa fine-tuning instruction bilingual,detailed,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+7287,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7287-898032.",insurance grounded-qa fine-tuning instruction bilingual,minimal,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+7288,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7288-482177.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+7289,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7289-142772.",insurance grounded-qa fine-tuning instruction bilingual,clean,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+7290,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; 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: 7290-439024.",insurance grounded-qa fine-tuning instruction bilingual,stylized,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+7291,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7291-594141.",insurance grounded-qa fine-tuning instruction bilingual,stylized,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+7292,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7292-264373.",insurance grounded-qa fine-tuning instruction bilingual,stylized,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+7293,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7293-626410.",insurance grounded-qa fine-tuning instruction bilingual,minimal,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+7294,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: BILINGUAL; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7294-577987.",insurance grounded-qa fine-tuning instruction bilingual,clean,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+7295,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7295-687701.",insurance grounded-qa fine-tuning instruction bilingual,clean,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+7296,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: BILINGUAL; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7296-663405.",insurance grounded-qa fine-tuning instruction bilingual,stylized,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+7297,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7297-286917.",insurance grounded-qa fine-tuning instruction bilingual,minimal,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+7298,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: BILINGUAL; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7298-661002.",insurance grounded-qa fine-tuning instruction bilingual,clean,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+7299,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7299-789725.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+7300,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: BILINGUAL; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7300-209728.",insurance grounded-qa fine-tuning instruction bilingual,clean,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+7301,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: platform engineer; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7301-922465.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+7302,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7302-240219.",insurance grounded-qa fine-tuning instruction bilingual,minimal,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+7303,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; 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: 7303-810452.",insurance grounded-qa fine-tuning instruction bilingual,clean,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+7304,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; 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: 7304-381011.",insurance grounded-qa fine-tuning instruction bilingual,detailed,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+7305,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; 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: 7305-737249.",insurance grounded-qa fine-tuning instruction bilingual,stylized,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+7306,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7306-273020.",insurance grounded-qa fine-tuning instruction bilingual,minimal,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+7307,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7307-966639.",insurance grounded-qa fine-tuning instruction bilingual,minimal,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+7308,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: platform engineer; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7308-602310.",insurance grounded-qa fine-tuning instruction bilingual,stylized,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+7309,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7309-231639.",insurance grounded-qa fine-tuning instruction bilingual,stylized,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+7310,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7310-753079.",insurance grounded-qa fine-tuning instruction bilingual,minimal,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+7311,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: data scientist; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7311-751554.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+7312,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; 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: 7312-596713.",insurance grounded-qa fine-tuning instruction bilingual,clean,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+7313,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7313-773230.",insurance grounded-qa fine-tuning instruction bilingual,detailed,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+7314,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7314-236859.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+7315,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7315-229732.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+7316,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7316-713677.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+7317,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7317-201500.",insurance grounded-qa fine-tuning instruction bilingual,detailed,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+7318,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7318-578033.",insurance grounded-qa fine-tuning instruction bilingual,stylized,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+7319,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-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: 7319-884407.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+7320,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7320-846147.",insurance grounded-qa fine-tuning instruction bilingual,minimal,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+7321,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7321-976545.",insurance grounded-qa fine-tuning instruction bilingual,detailed,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+7322,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7322-795549.",insurance grounded-qa fine-tuning instruction bilingual,clean,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+7323,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; 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: 7323-499016.",insurance grounded-qa fine-tuning instruction bilingual,clean,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+7324,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: BILINGUAL; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7324-462905.",insurance grounded-qa fine-tuning instruction bilingual,clean,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+7325,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7325-612533.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+7326,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7326-473558.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+7327,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; 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: 7327-465811.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+7328,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: platform engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7328-692020.",insurance grounded-qa fine-tuning instruction bilingual,detailed,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+7329,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7329-442640.",insurance grounded-qa fine-tuning instruction bilingual,clean,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+7330,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7330-602858.",insurance grounded-qa fine-tuning instruction bilingual,minimal,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+7331,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7331-387538.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+7332,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-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: 7332-148422.",insurance grounded-qa fine-tuning instruction bilingual,minimal,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+7333,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7333-878047.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+7334,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7334-133130.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+7335,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7335-229572.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+7336,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7336-243995.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+7337,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: data scientist; Task: grounding-check; Format: long-context; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7337-532846.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+7338,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7338-122430.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+7339,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7339-268575.",insurance grounded-qa fine-tuning instruction bilingual,stylized,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+7340,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7340-661483.",insurance grounded-qa fine-tuning instruction bilingual,minimal,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+7341,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: BILINGUAL; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7341-734905.",insurance grounded-qa fine-tuning instruction bilingual,detailed,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+7342,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7342-524577.",insurance grounded-qa fine-tuning instruction bilingual,clean,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+7343,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: platform engineer; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7343-634641.",insurance grounded-qa fine-tuning instruction bilingual,detailed,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+7344,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: data scientist; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7344-903669.",insurance grounded-qa fine-tuning instruction bilingual,stylized,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+7345,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7345-650273.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+7346,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7346-699776.",insurance grounded-qa fine-tuning instruction bilingual,minimal,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+7347,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7347-416437.",insurance grounded-qa fine-tuning instruction bilingual,minimal,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+7348,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: BILINGUAL; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7348-760016.",insurance grounded-qa fine-tuning instruction bilingual,minimal,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+7349,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ml engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7349-508315.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+7350,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7350-543943.",insurance grounded-qa fine-tuning instruction bilingual,detailed,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+7351,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: data scientist; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7351-280358.",insurance grounded-qa fine-tuning instruction bilingual,stylized,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+7352,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7352-732579.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+7353,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7353-182140.",insurance grounded-qa fine-tuning instruction bilingual,minimal,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+7354,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7354-378299.",insurance grounded-qa fine-tuning instruction bilingual,stylized,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+7355,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7355-885773.",insurance grounded-qa fine-tuning instruction bilingual,clean,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+7356,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-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: 7356-744564.",insurance grounded-qa fine-tuning instruction bilingual,minimal,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+7357,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7357-802432.",insurance grounded-qa fine-tuning instruction bilingual,detailed,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+7358,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7358-813755.",insurance grounded-qa fine-tuning instruction bilingual,minimal,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+7359,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7359-374923.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+7360,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7360-513912.",insurance grounded-qa fine-tuning instruction bilingual,stylized,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+7361,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7361-921778.",insurance grounded-qa fine-tuning instruction bilingual,minimal,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+7362,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7362-697922.",insurance grounded-qa fine-tuning instruction bilingual,detailed,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+7363,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: data scientist; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7363-219846.",insurance grounded-qa fine-tuning instruction bilingual,clean,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+7364,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7364-288456.",insurance grounded-qa fine-tuning instruction bilingual,minimal,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+7365,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7365-780217.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+7366,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-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: 7366-170164.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+7367,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7367-484879.",insurance grounded-qa fine-tuning instruction bilingual,clean,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+7368,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7368-989352.",insurance grounded-qa fine-tuning instruction bilingual,detailed,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+7369,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ml engineer; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7369-268811.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+7370,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7370-857508.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+7371,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; 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: 7371-218771.",insurance grounded-qa fine-tuning instruction bilingual,stylized,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+7372,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: BILINGUAL; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7372-728910.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+7373,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7373-779877.",insurance grounded-qa fine-tuning instruction bilingual,detailed,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+7374,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7374-498320.",insurance grounded-qa fine-tuning instruction bilingual,stylized,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+7375,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-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: 7375-811369.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+7376,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7376-827156.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+7377,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: BILINGUAL; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7377-395352.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+7378,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ml engineer; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7378-139092.",insurance grounded-qa fine-tuning instruction bilingual,stylized,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+7379,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ai researcher; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7379-799031.",insurance grounded-qa fine-tuning instruction bilingual,stylized,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+7380,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: data scientist; Task: quality-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7380-734966.",insurance grounded-qa fine-tuning instruction bilingual,stylized,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+7381,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-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: 7381-184522.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+7382,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7382-847437.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+7383,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7383-612860.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+7384,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; 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: 7384-409538.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+7385,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7385-766888.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+7386,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7386-165445.",insurance grounded-qa fine-tuning instruction bilingual,detailed,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+7387,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ml engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7387-717878.",insurance grounded-qa fine-tuning instruction bilingual,clean,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+7388,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: platform engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7388-963057.",insurance grounded-qa fine-tuning instruction bilingual,detailed,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+7389,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; 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: 7389-238610.",insurance grounded-qa fine-tuning instruction bilingual,clean,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+7390,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7390-505631.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+7391,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; 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: 7391-111740.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+7392,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7392-337736.",insurance grounded-qa fine-tuning instruction bilingual,stylized,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+7393,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; 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: 7393-913305.",insurance grounded-qa fine-tuning instruction bilingual,minimal,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+7394,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7394-462087.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+7395,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7395-889847.",insurance grounded-qa fine-tuning instruction bilingual,stylized,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+7396,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7396-449236.",insurance grounded-qa fine-tuning instruction bilingual,detailed,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+7397,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; 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: 7397-576140.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+7398,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7398-867404.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+7399,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7399-655545.",insurance grounded-qa fine-tuning instruction bilingual,minimal,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+7400,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; 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: 7400-786524.",insurance grounded-qa fine-tuning instruction bilingual,clean,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+7401,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7401-126656.",insurance grounded-qa fine-tuning instruction bilingual,clean,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+7402,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: data scientist; Task: robustness-check; Format: long-context; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7402-292072.",insurance grounded-qa fine-tuning instruction bilingual,detailed,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+7403,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7403-223341.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+7404,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: platform engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7404-781714.",insurance grounded-qa fine-tuning instruction bilingual,stylized,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+7405,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7405-860519.",insurance grounded-qa fine-tuning instruction bilingual,stylized,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+7406,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; 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: 7406-524004.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+7407,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7407-630463.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+7408,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7408-941117.",insurance grounded-qa fine-tuning instruction bilingual,minimal,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+7409,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: data scientist; Task: grounding-check; Format: long-context; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7409-909963.",insurance grounded-qa fine-tuning instruction bilingual,detailed,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+7410,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7410-318682.",insurance grounded-qa fine-tuning instruction bilingual,minimal,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+7411,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7411-924339.",insurance grounded-qa fine-tuning instruction bilingual,detailed,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+7412,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7412-732956.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+7413,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ml engineer; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7413-839188.",insurance grounded-qa fine-tuning instruction bilingual,minimal,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+7414,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7414-252958.",insurance grounded-qa fine-tuning instruction bilingual,stylized,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+7415,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7415-593181.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+7416,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7416-397693.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+7417,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; 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: 7417-679780.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+7418,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7418-581086.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+7419,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7419-852071.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+7420,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: data scientist; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7420-327509.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+7421,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7421-674879.",insurance grounded-qa fine-tuning instruction bilingual,minimal,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+7422,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7422-789316.",insurance grounded-qa fine-tuning instruction bilingual,minimal,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+7423,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7423-768270.",insurance grounded-qa fine-tuning instruction bilingual,detailed,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+7424,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: data scientist; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7424-810059.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+7425,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7425-201758.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+7426,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7426-241012.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+7427,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7427-343727.",insurance grounded-qa fine-tuning instruction bilingual,minimal,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+7428,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: BILINGUAL; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7428-875630.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+7429,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7429-414561.",insurance grounded-qa fine-tuning instruction bilingual,minimal,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+7430,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7430-954718.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+7431,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: BILINGUAL; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7431-355195.",insurance grounded-qa fine-tuning instruction bilingual,stylized,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+7432,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7432-784514.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+7433,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7433-186562.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+7434,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7434-602944.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+7435,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; 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: 7435-822874.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+7436,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7436-208959.",insurance grounded-qa fine-tuning instruction bilingual,minimal,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+7437,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7437-229800.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+7438,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7438-639997.",insurance grounded-qa fine-tuning instruction bilingual,stylized,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+7439,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7439-669941.",insurance grounded-qa fine-tuning instruction bilingual,detailed,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+7440,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7440-213553.",insurance grounded-qa fine-tuning instruction bilingual,clean,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+7441,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; 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: 7441-931572.",insurance grounded-qa fine-tuning instruction bilingual,clean,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+7442,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7442-256738.",insurance grounded-qa fine-tuning instruction bilingual,minimal,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+7443,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: data scientist; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7443-947418.",insurance grounded-qa fine-tuning instruction bilingual,detailed,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+7444,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7444-592998.",insurance grounded-qa fine-tuning instruction bilingual,clean,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+7445,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7445-214863.",insurance grounded-qa fine-tuning instruction bilingual,stylized,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+7446,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; 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: 7446-266523.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+7447,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ai researcher; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7447-302721.",insurance grounded-qa fine-tuning instruction bilingual,clean,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+7448,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: data scientist; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7448-483171.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+7449,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7449-219502.",insurance grounded-qa fine-tuning instruction bilingual,detailed,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+7450,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; 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: 7450-752996.",insurance grounded-qa fine-tuning instruction bilingual,clean,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+7451,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7451-445137.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+7452,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7452-520283.",insurance grounded-qa fine-tuning instruction bilingual,clean,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+7453,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7453-592133.",insurance grounded-qa fine-tuning instruction bilingual,detailed,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+7454,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: data scientist; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7454-359877.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+7455,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; 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: 7455-196585.",insurance grounded-qa fine-tuning instruction bilingual,stylized,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+7456,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7456-884502.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+7457,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7457-198193.",insurance grounded-qa fine-tuning instruction bilingual,detailed,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+7458,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-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: 7458-776301.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+7459,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7459-807130.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+7460,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; 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: 7460-830433.",insurance grounded-qa fine-tuning instruction bilingual,stylized,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+7461,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: BILINGUAL; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7461-404214.",insurance grounded-qa fine-tuning instruction bilingual,stylized,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+7462,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7462-508805.",insurance grounded-qa fine-tuning instruction bilingual,clean,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+7463,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: BILINGUAL; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7463-614556.",insurance grounded-qa fine-tuning instruction bilingual,minimal,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+7464,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; 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: 7464-708853.",insurance grounded-qa fine-tuning instruction bilingual,minimal,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+7465,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7465-493130.",insurance grounded-qa fine-tuning instruction bilingual,detailed,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+7466,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7466-529437.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+7467,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: data scientist; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7467-133398.",insurance grounded-qa fine-tuning instruction bilingual,clean,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+7468,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7468-969134.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+7469,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7469-424943.",insurance grounded-qa fine-tuning instruction bilingual,detailed,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+7470,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7470-183798.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+7471,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7471-610022.",insurance grounded-qa fine-tuning instruction bilingual,clean,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+7472,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: data scientist; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7472-914070.",insurance grounded-qa fine-tuning instruction bilingual,minimal,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+7473,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7473-935680.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+7474,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7474-300793.",insurance grounded-qa fine-tuning instruction bilingual,clean,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+7475,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7475-688405.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+7476,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7476-384919.",insurance grounded-qa fine-tuning instruction bilingual,detailed,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+7477,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7477-417535.",insurance grounded-qa fine-tuning instruction bilingual,clean,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+7478,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7478-808553.",insurance grounded-qa fine-tuning instruction bilingual,stylized,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+7479,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7479-363015.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+7480,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7480-860050.",insurance grounded-qa fine-tuning instruction bilingual,clean,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+7481,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: platform engineer; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7481-928026.",insurance grounded-qa fine-tuning instruction bilingual,detailed,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+7482,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7482-894920.",insurance grounded-qa fine-tuning instruction bilingual,stylized,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+7483,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7483-142125.",insurance grounded-qa fine-tuning instruction bilingual,minimal,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+7484,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7484-253030.",insurance grounded-qa fine-tuning instruction bilingual,minimal,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+7485,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7485-688005.",insurance grounded-qa fine-tuning instruction bilingual,stylized,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+7486,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; 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: 7486-952284.",insurance grounded-qa fine-tuning instruction bilingual,detailed,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+7487,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7487-240406.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+7488,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; 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: 7488-191126.",insurance grounded-qa fine-tuning instruction bilingual,detailed,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+7489,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7489-838655.",insurance grounded-qa fine-tuning instruction bilingual,detailed,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+7490,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-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: 7490-383508.",insurance grounded-qa fine-tuning instruction bilingual,clean,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+7491,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7491-888647.",insurance grounded-qa fine-tuning instruction bilingual,minimal,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+7492,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7492-839879.",insurance grounded-qa fine-tuning instruction bilingual,clean,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+7493,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7493-774165.",insurance grounded-qa fine-tuning instruction bilingual,clean,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+7494,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7494-715970.",insurance grounded-qa fine-tuning instruction bilingual,stylized,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+7495,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: BILINGUAL; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7495-831680.",insurance grounded-qa fine-tuning instruction bilingual,clean,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+7496,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: data scientist; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7496-491239.",insurance grounded-qa fine-tuning instruction bilingual,minimal,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+7497,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7497-572357.",insurance grounded-qa fine-tuning instruction bilingual,stylized,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+7498,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7498-197983.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+7499,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7499-551331.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+7500,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7500-905740.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+7501,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7501-222596.",insurance grounded-qa fine-tuning instruction bilingual,detailed,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+7502,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7502-912680.",insurance grounded-qa fine-tuning instruction bilingual,clean,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+7503,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7503-812277.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+7504,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-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: 7504-145925.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+7505,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7505-495237.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+7506,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7506-589144.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+7507,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: BILINGUAL; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7507-430609.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+7508,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: BILINGUAL; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7508-117962.",insurance grounded-qa fine-tuning instruction bilingual,detailed,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+7509,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7509-734362.",insurance grounded-qa fine-tuning instruction bilingual,stylized,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+7510,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: data scientist; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7510-881672.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+7511,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: data scientist; Task: grounding-check; Format: long-context; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7511-699341.",insurance grounded-qa fine-tuning instruction bilingual,minimal,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+7512,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: BILINGUAL; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7512-542517.",insurance grounded-qa fine-tuning instruction bilingual,clean,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+7513,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7513-970740.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+7514,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7514-906651.",insurance grounded-qa fine-tuning instruction bilingual,clean,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+7515,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: data scientist; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7515-367893.",insurance grounded-qa fine-tuning instruction bilingual,detailed,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+7516,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7516-514403.",insurance grounded-qa fine-tuning instruction bilingual,stylized,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+7517,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7517-698572.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+7518,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: data scientist; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7518-200810.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+7519,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7519-630092.",insurance grounded-qa fine-tuning instruction bilingual,minimal,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+7520,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7520-146523.",insurance grounded-qa fine-tuning instruction bilingual,clean,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+7521,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; 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: 7521-692266.",insurance grounded-qa fine-tuning instruction bilingual,stylized,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+7522,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7522-746015.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+7523,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7523-148791.",insurance grounded-qa fine-tuning instruction bilingual,minimal,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+7524,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7524-449591.",insurance grounded-qa fine-tuning instruction bilingual,clean,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+7525,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7525-820952.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+7526,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7526-165453.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+7527,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7527-144468.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+7528,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: data scientist; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7528-340168.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+7529,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: BILINGUAL; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7529-310225.",insurance grounded-qa fine-tuning instruction bilingual,detailed,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+7530,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7530-543307.",insurance grounded-qa fine-tuning instruction bilingual,minimal,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+7531,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7531-555707.",insurance grounded-qa fine-tuning instruction bilingual,detailed,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+7532,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: platform engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7532-755732.",insurance grounded-qa fine-tuning instruction bilingual,minimal,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+7533,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: data scientist; Task: grounding-check; Format: long-context; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7533-534507.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+7534,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7534-450190.",insurance grounded-qa fine-tuning instruction bilingual,minimal,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+7535,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-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: 7535-214528.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+7536,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-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: 7536-634260.",insurance grounded-qa fine-tuning instruction bilingual,clean,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+7537,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7537-533061.",insurance grounded-qa fine-tuning instruction bilingual,minimal,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+7538,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; 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: 7538-791540.",insurance grounded-qa fine-tuning instruction bilingual,minimal,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+7539,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7539-860484.",insurance grounded-qa fine-tuning instruction bilingual,detailed,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+7540,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; 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: 7540-112475.",insurance grounded-qa fine-tuning instruction bilingual,detailed,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+7541,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-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: 7541-470783.",insurance grounded-qa fine-tuning instruction bilingual,minimal,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+7542,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7542-340389.",insurance grounded-qa fine-tuning instruction bilingual,clean,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+7543,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; 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: 7543-705915.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+7544,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7544-911839.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+7545,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7545-124631.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+7546,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; 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: 7546-935602.",insurance grounded-qa fine-tuning instruction bilingual,minimal,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+7547,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7547-227461.",insurance grounded-qa fine-tuning instruction bilingual,minimal,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+7548,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ml engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7548-199451.",insurance grounded-qa fine-tuning instruction bilingual,minimal,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+7549,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7549-917692.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+7550,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7550-678155.",insurance grounded-qa fine-tuning instruction bilingual,minimal,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+7551,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7551-560817.",insurance grounded-qa fine-tuning instruction bilingual,stylized,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+7552,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7552-576270.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+7553,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7553-192218.",insurance grounded-qa fine-tuning instruction bilingual,clean,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+7554,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7554-344311.",insurance grounded-qa fine-tuning instruction bilingual,detailed,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+7555,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-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: 7555-289021.",insurance grounded-qa fine-tuning instruction bilingual,minimal,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+7556,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7556-893468.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+7557,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7557-704576.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+7558,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7558-520228.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+7559,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7559-884345.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+7560,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7560-579915.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+7561,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: BILINGUAL; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7561-798202.",insurance grounded-qa fine-tuning instruction bilingual,stylized,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+7562,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7562-521023.",insurance grounded-qa fine-tuning instruction bilingual,stylized,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+7563,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7563-242178.",insurance grounded-qa fine-tuning instruction bilingual,clean,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+7564,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7564-797367.",insurance grounded-qa fine-tuning instruction bilingual,stylized,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+7565,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7565-360729.",insurance grounded-qa fine-tuning instruction bilingual,detailed,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+7566,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: BILINGUAL; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7566-565487.",insurance grounded-qa fine-tuning instruction bilingual,minimal,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+7567,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; 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: 7567-887273.",insurance grounded-qa fine-tuning instruction bilingual,minimal,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+7568,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: BILINGUAL; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7568-415109.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+7569,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; 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: 7569-967414.",insurance grounded-qa fine-tuning instruction bilingual,minimal,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+7570,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7570-139630.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+7571,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7571-776712.",insurance grounded-qa fine-tuning instruction bilingual,stylized,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+7572,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: data scientist; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7572-393891.",insurance grounded-qa fine-tuning instruction bilingual,minimal,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+7573,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7573-443134.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+7574,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7574-313577.",insurance grounded-qa fine-tuning instruction bilingual,clean,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+7575,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7575-240359.",insurance grounded-qa fine-tuning instruction bilingual,clean,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+7576,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7576-938321.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+7577,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7577-800370.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+7578,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7578-181795.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+7579,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7579-414846.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+7580,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7580-623590.",insurance grounded-qa fine-tuning instruction bilingual,minimal,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+7581,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7581-645316.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+7582,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; 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: 7582-492816.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+7583,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7583-276478.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+7584,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: BILINGUAL; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7584-642621.",insurance grounded-qa fine-tuning instruction bilingual,detailed,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+7585,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: platform engineer; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7585-650163.",insurance grounded-qa fine-tuning instruction bilingual,detailed,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+7586,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: data scientist; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7586-515213.",insurance grounded-qa fine-tuning instruction bilingual,stylized,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+7587,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7587-523720.",insurance grounded-qa fine-tuning instruction bilingual,stylized,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+7588,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-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: 7588-255758.",insurance grounded-qa fine-tuning instruction bilingual,minimal,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+7589,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7589-602018.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+7590,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7590-487831.",insurance grounded-qa fine-tuning instruction bilingual,stylized,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+7591,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7591-862478.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+7592,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-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: 7592-458848.",insurance grounded-qa fine-tuning instruction bilingual,clean,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+7593,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7593-377303.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+7594,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7594-153743.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+7595,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7595-838594.",insurance grounded-qa fine-tuning instruction bilingual,minimal,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+7596,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7596-124362.",insurance grounded-qa fine-tuning instruction bilingual,stylized,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+7597,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; 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: 7597-646835.",insurance grounded-qa fine-tuning instruction bilingual,detailed,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+7598,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; 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: 7598-786733.",insurance grounded-qa fine-tuning instruction bilingual,clean,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+7599,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: BILINGUAL; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7599-498334.",insurance grounded-qa fine-tuning instruction bilingual,minimal,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+7600,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7600-912388.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+7601,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7601-965543.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+7602,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7602-939895.",insurance grounded-qa fine-tuning instruction bilingual,detailed,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+7603,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7603-580943.",insurance grounded-qa fine-tuning instruction bilingual,stylized,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+7604,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7604-853685.",insurance grounded-qa fine-tuning instruction bilingual,minimal,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+7605,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7605-961573.",insurance grounded-qa fine-tuning instruction bilingual,detailed,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+7606,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: data scientist; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7606-448791.",insurance grounded-qa fine-tuning instruction bilingual,clean,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+7607,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7607-196062.",insurance grounded-qa fine-tuning instruction bilingual,minimal,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+7608,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ai researcher; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7608-831615.",insurance grounded-qa fine-tuning instruction bilingual,clean,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+7609,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; 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: 7609-326048.",insurance grounded-qa fine-tuning instruction bilingual,detailed,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+7610,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; 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: 7610-277388.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+7611,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7611-807360.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+7612,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7612-395101.",insurance grounded-qa fine-tuning instruction bilingual,clean,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+7613,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: BILINGUAL; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7613-914632.",insurance grounded-qa fine-tuning instruction bilingual,detailed,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+7614,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7614-540127.",insurance grounded-qa fine-tuning instruction bilingual,minimal,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+7615,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7615-373828.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+7616,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7616-195078.",insurance grounded-qa fine-tuning instruction bilingual,stylized,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+7617,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; 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: 7617-571851.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+7618,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7618-114173.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+7619,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7619-791987.",insurance grounded-qa fine-tuning instruction bilingual,minimal,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+7620,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ml engineer; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7620-440527.",insurance grounded-qa fine-tuning instruction bilingual,minimal,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+7621,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; 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: 7621-906559.",insurance grounded-qa fine-tuning instruction bilingual,minimal,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+7622,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7622-788529.",insurance grounded-qa fine-tuning instruction bilingual,minimal,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+7623,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7623-364482.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+7624,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: data scientist; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7624-389984.",insurance grounded-qa fine-tuning instruction bilingual,detailed,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+7625,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; 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: 7625-476175.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+7626,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; 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: 7626-985871.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+7627,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: data scientist; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7627-944857.",insurance grounded-qa fine-tuning instruction bilingual,minimal,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+7628,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: data scientist; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7628-779447.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+7629,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7629-274299.",insurance grounded-qa fine-tuning instruction bilingual,minimal,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+7630,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7630-994790.",insurance grounded-qa fine-tuning instruction bilingual,minimal,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+7631,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7631-294432.",insurance grounded-qa fine-tuning instruction bilingual,stylized,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+7632,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7632-509179.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+7633,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7633-327285.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+7634,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; 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: 7634-668324.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+7635,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7635-263040.",insurance grounded-qa fine-tuning instruction bilingual,detailed,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+7636,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; 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: 7636-928377.",insurance grounded-qa fine-tuning instruction bilingual,detailed,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+7637,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7637-788709.",insurance grounded-qa fine-tuning instruction bilingual,detailed,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+7638,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-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: 7638-376812.",insurance grounded-qa fine-tuning instruction bilingual,detailed,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+7639,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7639-660947.",insurance grounded-qa fine-tuning instruction bilingual,stylized,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+7640,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7640-658947.",insurance grounded-qa fine-tuning instruction bilingual,clean,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+7641,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; 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: 7641-988384.",insurance grounded-qa fine-tuning instruction bilingual,minimal,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+7642,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7642-556682.",insurance grounded-qa fine-tuning instruction bilingual,detailed,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+7643,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7643-557723.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+7644,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7644-797506.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+7645,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7645-878680.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+7646,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7646-106561.",insurance grounded-qa fine-tuning instruction bilingual,minimal,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+7647,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: data scientist; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7647-599564.",insurance grounded-qa fine-tuning instruction bilingual,detailed,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+7648,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7648-852517.",insurance grounded-qa fine-tuning instruction bilingual,clean,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+7649,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7649-613019.",insurance grounded-qa fine-tuning instruction bilingual,stylized,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+7650,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ai researcher; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7650-466631.",insurance grounded-qa fine-tuning instruction bilingual,minimal,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+7651,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7651-891837.",insurance grounded-qa fine-tuning instruction bilingual,detailed,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+7652,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7652-709910.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+7653,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7653-223817.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+7654,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: BILINGUAL; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7654-391574.",insurance grounded-qa fine-tuning instruction bilingual,stylized,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+7655,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7655-719596.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+7656,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7656-517568.",insurance grounded-qa fine-tuning instruction bilingual,stylized,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+7657,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: BILINGUAL; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7657-288851.",insurance grounded-qa fine-tuning instruction bilingual,stylized,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+7658,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7658-899199.",insurance grounded-qa fine-tuning instruction bilingual,detailed,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+7659,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7659-279439.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+7660,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7660-735060.",insurance grounded-qa fine-tuning instruction bilingual,clean,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+7661,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7661-589543.",insurance grounded-qa fine-tuning instruction bilingual,clean,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+7662,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7662-250419.",insurance grounded-qa fine-tuning instruction bilingual,clean,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+7663,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7663-200928.",insurance grounded-qa fine-tuning instruction bilingual,minimal,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+7664,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7664-868779.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+7665,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7665-425247.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+7666,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7666-361611.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+7667,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: BILINGUAL; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7667-207386.",insurance grounded-qa fine-tuning instruction bilingual,clean,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+7668,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7668-336482.",insurance grounded-qa fine-tuning instruction bilingual,detailed,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+7669,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7669-456231.",insurance grounded-qa fine-tuning instruction bilingual,minimal,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+7670,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7670-785536.",insurance grounded-qa fine-tuning instruction bilingual,stylized,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+7671,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7671-932789.",insurance grounded-qa fine-tuning instruction bilingual,minimal,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+7672,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7672-136110.",insurance grounded-qa fine-tuning instruction bilingual,clean,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+7673,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: BILINGUAL; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7673-798249.",insurance grounded-qa fine-tuning instruction bilingual,detailed,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+7674,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7674-893169.",insurance grounded-qa fine-tuning instruction bilingual,clean,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+7675,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7675-408731.",insurance grounded-qa fine-tuning instruction bilingual,detailed,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+7676,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7676-623285.",insurance grounded-qa fine-tuning instruction bilingual,minimal,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+7677,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7677-936122.",insurance grounded-qa fine-tuning instruction bilingual,clean,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+7678,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7678-834842.",insurance grounded-qa fine-tuning instruction bilingual,clean,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+7679,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: data scientist; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7679-112676.",insurance grounded-qa fine-tuning instruction bilingual,minimal,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+7680,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: platform engineer; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7680-751032.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+7681,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; 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: 7681-974762.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+7682,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7682-612987.",insurance grounded-qa fine-tuning instruction bilingual,detailed,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+7683,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: data scientist; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7683-139204.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+7684,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7684-533932.",insurance grounded-qa fine-tuning instruction bilingual,minimal,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+7685,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ai researcher; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7685-386526.",insurance grounded-qa fine-tuning instruction bilingual,clean,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+7686,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7686-665557.",insurance grounded-qa fine-tuning instruction bilingual,clean,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+7687,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7687-132353.",insurance grounded-qa fine-tuning instruction bilingual,minimal,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+7688,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7688-818392.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+7689,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: platform engineer; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7689-439566.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+7690,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: data scientist; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7690-732771.",insurance grounded-qa fine-tuning instruction bilingual,clean,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+7691,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; 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: 7691-415085.",insurance grounded-qa fine-tuning instruction bilingual,stylized,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+7692,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7692-855840.",insurance grounded-qa fine-tuning instruction bilingual,minimal,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+7693,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: data scientist; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7693-545377.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+7694,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7694-669291.",insurance grounded-qa fine-tuning instruction bilingual,detailed,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+7695,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7695-290071.",insurance grounded-qa fine-tuning instruction bilingual,stylized,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+7696,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7696-209418.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+7697,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7697-723355.",insurance grounded-qa fine-tuning instruction bilingual,stylized,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+7698,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7698-494529.",insurance grounded-qa fine-tuning instruction bilingual,detailed,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+7699,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7699-626218.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+7700,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7700-624471.",insurance grounded-qa fine-tuning instruction bilingual,stylized,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+7701,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7701-426470.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+7702,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; 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: 7702-388644.",insurance grounded-qa fine-tuning instruction bilingual,minimal,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+7703,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7703-740467.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+7704,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7704-577524.",insurance grounded-qa fine-tuning instruction bilingual,clean,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+7705,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; 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: 7705-763908.",insurance grounded-qa fine-tuning instruction bilingual,detailed,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+7706,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7706-925242.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+7707,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; 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: 7707-565274.",insurance grounded-qa fine-tuning instruction bilingual,stylized,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+7708,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7708-714764.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+7709,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: data scientist; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7709-699404.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+7710,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; 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: 7710-589011.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+7711,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; 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: 7711-779631.",insurance grounded-qa fine-tuning instruction bilingual,clean,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+7712,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; 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: 7712-699806.",insurance grounded-qa fine-tuning instruction bilingual,stylized,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+7713,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: data scientist; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7713-437998.",insurance grounded-qa fine-tuning instruction bilingual,clean,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+7714,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: platform engineer; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7714-975484.",insurance grounded-qa fine-tuning instruction bilingual,stylized,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+7715,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7715-691496.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+7716,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7716-898675.",insurance grounded-qa fine-tuning instruction bilingual,stylized,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+7717,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7717-351599.",insurance grounded-qa fine-tuning instruction bilingual,detailed,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+7718,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7718-996488.",insurance grounded-qa fine-tuning instruction bilingual,minimal,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+7719,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7719-989578.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+7720,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-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: 7720-859627.",insurance grounded-qa fine-tuning instruction bilingual,clean,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+7721,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; 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: 7721-524110.",insurance grounded-qa fine-tuning instruction bilingual,stylized,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+7722,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7722-572992.",insurance grounded-qa fine-tuning instruction bilingual,stylized,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+7723,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7723-517740.",insurance grounded-qa fine-tuning instruction bilingual,stylized,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+7724,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7724-450534.",insurance grounded-qa fine-tuning instruction bilingual,stylized,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+7725,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7725-758319.",insurance grounded-qa fine-tuning instruction bilingual,minimal,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+7726,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7726-434546.",insurance grounded-qa fine-tuning instruction bilingual,stylized,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+7727,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-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: 7727-737431.",insurance grounded-qa fine-tuning instruction bilingual,clean,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+7728,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; 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: 7728-506745.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+7729,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: platform engineer; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7729-200978.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+7730,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7730-512886.",insurance grounded-qa fine-tuning instruction bilingual,clean,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+7731,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7731-948921.",insurance grounded-qa fine-tuning instruction bilingual,minimal,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+7732,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; 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: 7732-523839.",insurance grounded-qa fine-tuning instruction bilingual,detailed,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+7733,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7733-462315.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+7734,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7734-990516.",insurance grounded-qa fine-tuning instruction bilingual,detailed,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+7735,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7735-314688.",insurance grounded-qa fine-tuning instruction bilingual,stylized,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+7736,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; 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: 7736-476148.",insurance grounded-qa fine-tuning instruction bilingual,minimal,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+7737,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7737-656595.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+7738,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; 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: 7738-183301.",insurance grounded-qa fine-tuning instruction bilingual,minimal,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+7739,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7739-385490.",insurance grounded-qa fine-tuning instruction bilingual,stylized,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+7740,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7740-183430.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+7741,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7741-722246.",insurance grounded-qa fine-tuning instruction bilingual,clean,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+7742,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7742-904167.",insurance grounded-qa fine-tuning instruction bilingual,detailed,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+7743,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: BILINGUAL; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7743-378273.",insurance grounded-qa fine-tuning instruction bilingual,stylized,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+7744,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7744-571356.",insurance grounded-qa fine-tuning instruction bilingual,detailed,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+7745,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; 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: 7745-684489.",insurance grounded-qa fine-tuning instruction bilingual,detailed,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+7746,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7746-970321.",insurance grounded-qa fine-tuning instruction bilingual,stylized,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+7747,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: data scientist; Task: grounding-check; Format: long-context; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7747-320467.",insurance grounded-qa fine-tuning instruction bilingual,stylized,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+7748,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-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: 7748-969533.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+7749,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7749-658542.",insurance grounded-qa fine-tuning instruction bilingual,stylized,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+7750,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7750-856156.",insurance grounded-qa fine-tuning instruction bilingual,stylized,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+7751,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7751-651840.",insurance grounded-qa fine-tuning instruction bilingual,stylized,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+7752,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: data scientist; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7752-389779.",insurance grounded-qa fine-tuning instruction bilingual,clean,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+7753,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7753-211249.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+7754,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7754-519675.",insurance grounded-qa fine-tuning instruction bilingual,clean,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+7755,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7755-733648.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+7756,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7756-469087.",insurance grounded-qa fine-tuning instruction bilingual,clean,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+7757,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: BILINGUAL; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7757-729198.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+7758,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7758-549041.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+7759,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7759-438540.",insurance grounded-qa fine-tuning instruction bilingual,stylized,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+7760,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ai researcher; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7760-176557.",insurance grounded-qa fine-tuning instruction bilingual,clean,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+7761,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: BILINGUAL; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7761-653154.",insurance grounded-qa fine-tuning instruction bilingual,detailed,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+7762,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; 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: 7762-781211.",insurance grounded-qa fine-tuning instruction bilingual,minimal,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+7763,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7763-634968.",insurance grounded-qa fine-tuning instruction bilingual,minimal,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+7764,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7764-126860.",insurance grounded-qa fine-tuning instruction bilingual,detailed,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+7765,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7765-642803.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+7766,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-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: 7766-479570.",insurance grounded-qa fine-tuning instruction bilingual,minimal,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+7767,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: data scientist; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7767-118119.",insurance grounded-qa fine-tuning instruction bilingual,clean,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+7768,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7768-393715.",insurance grounded-qa fine-tuning instruction bilingual,minimal,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+7769,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: data scientist; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7769-314107.",insurance grounded-qa fine-tuning instruction bilingual,minimal,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+7770,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7770-570806.",insurance grounded-qa fine-tuning instruction bilingual,clean,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+7771,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: BILINGUAL; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7771-911055.",insurance grounded-qa fine-tuning instruction bilingual,detailed,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+7772,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ai researcher; Task: quality-check; Format: long-context; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7772-234680.",insurance grounded-qa fine-tuning instruction bilingual,clean,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+7773,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7773-272694.",insurance grounded-qa fine-tuning instruction bilingual,detailed,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+7774,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: BILINGUAL; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7774-506966.",insurance grounded-qa fine-tuning instruction bilingual,detailed,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+7775,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7775-301109.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+7776,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7776-286295.",insurance grounded-qa fine-tuning instruction bilingual,minimal,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+7777,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: platform engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7777-171366.",insurance grounded-qa fine-tuning instruction bilingual,detailed,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+7778,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-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: 7778-474876.",insurance grounded-qa fine-tuning instruction bilingual,detailed,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+7779,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7779-718046.",insurance grounded-qa fine-tuning instruction bilingual,detailed,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+7780,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7780-766924.",insurance grounded-qa fine-tuning instruction bilingual,clean,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+7781,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ml engineer; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7781-223462.",insurance grounded-qa fine-tuning instruction bilingual,stylized,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+7782,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7782-986945.",insurance grounded-qa fine-tuning instruction bilingual,minimal,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+7783,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7783-976316.",insurance grounded-qa fine-tuning instruction bilingual,detailed,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+7784,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-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: 7784-211304.",insurance grounded-qa fine-tuning instruction bilingual,clean,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+7785,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7785-111569.",insurance grounded-qa fine-tuning instruction bilingual,clean,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+7786,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; 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: 7786-635561.",insurance grounded-qa fine-tuning instruction bilingual,stylized,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+7787,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; 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: 7787-394968.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+7788,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7788-192213.",insurance grounded-qa fine-tuning instruction bilingual,clean,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+7789,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7789-677452.",insurance grounded-qa fine-tuning instruction bilingual,detailed,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+7790,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: data scientist; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7790-367925.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+7791,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7791-491558.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+7792,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; 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: 7792-452133.",insurance grounded-qa fine-tuning instruction bilingual,minimal,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+7793,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7793-612583.",insurance grounded-qa fine-tuning instruction bilingual,minimal,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+7794,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: data scientist; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7794-371249.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+7795,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: data scientist; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7795-491105.",insurance grounded-qa fine-tuning instruction bilingual,detailed,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+7796,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ml engineer; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7796-898922.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+7797,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7797-858287.",insurance grounded-qa fine-tuning instruction bilingual,stylized,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+7798,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7798-866494.",insurance grounded-qa fine-tuning instruction bilingual,detailed,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+7799,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-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: 7799-297517.",insurance grounded-qa fine-tuning instruction bilingual,minimal,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+7800,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7800-933914.",insurance grounded-qa fine-tuning instruction bilingual,clean,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+7801,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; 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: 7801-459703.",insurance grounded-qa fine-tuning instruction bilingual,detailed,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+7802,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7802-249515.",insurance grounded-qa fine-tuning instruction bilingual,clean,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+7803,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7803-737857.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+7804,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7804-815648.",insurance grounded-qa fine-tuning instruction bilingual,stylized,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+7805,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: data scientist; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7805-562755.",insurance grounded-qa fine-tuning instruction bilingual,stylized,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+7806,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7806-653701.",insurance grounded-qa fine-tuning instruction bilingual,detailed,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+7807,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7807-239711.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+7808,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7808-549890.",insurance grounded-qa fine-tuning instruction bilingual,clean,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+7809,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: BILINGUAL; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7809-932193.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+7810,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; 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: 7810-990149.",insurance grounded-qa fine-tuning instruction bilingual,minimal,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+7811,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7811-876929.",insurance grounded-qa fine-tuning instruction bilingual,stylized,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+7812,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7812-396192.",insurance grounded-qa fine-tuning instruction bilingual,minimal,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+7813,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ai researcher; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7813-932878.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+7814,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7814-206522.",insurance grounded-qa fine-tuning instruction bilingual,minimal,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+7815,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: BILINGUAL; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7815-168715.",insurance grounded-qa fine-tuning instruction bilingual,detailed,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+7816,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; 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: 7816-654388.",insurance grounded-qa fine-tuning instruction bilingual,stylized,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+7817,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ai researcher; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7817-397196.",insurance grounded-qa fine-tuning instruction bilingual,clean,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+7818,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7818-142031.",insurance grounded-qa fine-tuning instruction bilingual,minimal,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+7819,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7819-629059.",insurance grounded-qa fine-tuning instruction bilingual,stylized,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+7820,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7820-996909.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+7821,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7821-908259.",insurance grounded-qa fine-tuning instruction bilingual,stylized,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+7822,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: data scientist; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7822-743496.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+7823,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ai researcher; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7823-498509.",insurance grounded-qa fine-tuning instruction bilingual,stylized,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+7824,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7824-949403.",insurance grounded-qa fine-tuning instruction bilingual,detailed,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+7825,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: data scientist; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7825-186952.",insurance grounded-qa fine-tuning instruction bilingual,minimal,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+7826,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; 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: 7826-897907.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+7827,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7827-395041.",insurance grounded-qa fine-tuning instruction bilingual,clean,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+7828,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7828-510915.",insurance grounded-qa fine-tuning instruction bilingual,clean,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+7829,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7829-518691.",insurance grounded-qa fine-tuning instruction bilingual,stylized,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+7830,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7830-189942.",insurance grounded-qa fine-tuning instruction bilingual,minimal,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+7831,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7831-218074.",insurance grounded-qa fine-tuning instruction bilingual,stylized,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+7832,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7832-873521.",insurance grounded-qa fine-tuning instruction bilingual,clean,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+7833,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7833-774616.",insurance grounded-qa fine-tuning instruction bilingual,clean,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+7834,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: platform engineer; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7834-111775.",insurance grounded-qa fine-tuning instruction bilingual,minimal,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+7835,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7835-507335.",insurance grounded-qa fine-tuning instruction bilingual,minimal,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+7836,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: data scientist; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7836-616486.",insurance grounded-qa fine-tuning instruction bilingual,stylized,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+7837,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7837-493005.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+7838,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7838-744676.",insurance grounded-qa fine-tuning instruction bilingual,detailed,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+7839,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; 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: 7839-704146.",insurance grounded-qa fine-tuning instruction bilingual,minimal,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+7840,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; 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: 7840-688072.",insurance grounded-qa fine-tuning instruction bilingual,clean,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+7841,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: BILINGUAL; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7841-511819.",insurance grounded-qa fine-tuning instruction bilingual,clean,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+7842,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7842-105356.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+7843,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7843-908307.",insurance grounded-qa fine-tuning instruction bilingual,stylized,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+7844,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: data scientist; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7844-905304.",insurance grounded-qa fine-tuning instruction bilingual,detailed,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+7845,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: BILINGUAL; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7845-120294.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+7846,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7846-649301.",insurance grounded-qa fine-tuning instruction bilingual,stylized,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+7847,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: data scientist; Task: robustness-check; Format: long-context; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7847-574239.",insurance grounded-qa fine-tuning instruction bilingual,minimal,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+7848,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7848-567786.",insurance grounded-qa fine-tuning instruction bilingual,stylized,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+7849,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ml engineer; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7849-820863.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+7850,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-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: 7850-897294.",insurance grounded-qa fine-tuning instruction bilingual,stylized,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+7851,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7851-555069.",insurance grounded-qa fine-tuning instruction bilingual,stylized,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+7852,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; 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: 7852-476724.",insurance grounded-qa fine-tuning instruction bilingual,clean,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+7853,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7853-935069.",insurance grounded-qa fine-tuning instruction bilingual,stylized,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+7854,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7854-389920.",insurance grounded-qa fine-tuning instruction bilingual,minimal,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+7855,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: data scientist; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7855-602126.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+7856,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7856-894911.",insurance grounded-qa fine-tuning instruction bilingual,stylized,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+7857,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ai researcher; Task: quality-check; Format: long-context; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7857-517659.",insurance grounded-qa fine-tuning instruction bilingual,minimal,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+7858,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7858-361818.",insurance grounded-qa fine-tuning instruction bilingual,stylized,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+7859,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: data scientist; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7859-891286.",insurance grounded-qa fine-tuning instruction bilingual,clean,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+7860,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7860-234296.",insurance grounded-qa fine-tuning instruction bilingual,detailed,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+7861,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; 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: 7861-911588.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+7862,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7862-801601.",insurance grounded-qa fine-tuning instruction bilingual,minimal,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+7863,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7863-183958.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+7864,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7864-617832.",insurance grounded-qa fine-tuning instruction bilingual,minimal,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+7865,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7865-681564.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+7866,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7866-903240.",insurance grounded-qa fine-tuning instruction bilingual,detailed,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+7867,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-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: 7867-855691.",insurance grounded-qa fine-tuning instruction bilingual,minimal,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+7868,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7868-205403.",insurance grounded-qa fine-tuning instruction bilingual,minimal,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+7869,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7869-269903.",insurance grounded-qa fine-tuning instruction bilingual,clean,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+7870,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; 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: 7870-607011.",insurance grounded-qa fine-tuning instruction bilingual,clean,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+7871,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: data scientist; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7871-924313.",insurance grounded-qa fine-tuning instruction bilingual,stylized,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+7872,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: BILINGUAL; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7872-156214.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+7873,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7873-697946.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+7874,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; 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: 7874-526427.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+7875,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7875-238608.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+7876,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7876-132200.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+7877,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: data scientist; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7877-533905.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+7878,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7878-318704.",insurance grounded-qa fine-tuning instruction bilingual,stylized,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+7879,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: data scientist; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7879-271609.",insurance grounded-qa fine-tuning instruction bilingual,minimal,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+7880,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: BILINGUAL; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7880-251585.",insurance grounded-qa fine-tuning instruction bilingual,clean,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+7881,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; 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: 7881-929338.",insurance grounded-qa fine-tuning instruction bilingual,clean,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+7882,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; 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: 7882-231867.",insurance grounded-qa fine-tuning instruction bilingual,detailed,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+7883,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7883-603940.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+7884,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7884-817986.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+7885,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7885-953123.",insurance grounded-qa fine-tuning instruction bilingual,minimal,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+7886,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7886-272128.",insurance grounded-qa fine-tuning instruction bilingual,detailed,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+7887,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7887-373646.",insurance grounded-qa fine-tuning instruction bilingual,stylized,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+7888,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: data scientist; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7888-871420.",insurance grounded-qa fine-tuning instruction bilingual,stylized,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+7889,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7889-902678.",insurance grounded-qa fine-tuning instruction bilingual,stylized,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+7890,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: data scientist; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7890-990605.",insurance grounded-qa fine-tuning instruction bilingual,stylized,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+7891,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: data scientist; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7891-281584.",insurance grounded-qa fine-tuning instruction bilingual,stylized,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+7892,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: BILINGUAL; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7892-889356.",insurance grounded-qa fine-tuning instruction bilingual,detailed,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+7893,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7893-677691.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+7894,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7894-437211.",insurance grounded-qa fine-tuning instruction bilingual,minimal,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+7895,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: data scientist; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7895-163294.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+7896,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: data scientist; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7896-532000.",insurance grounded-qa fine-tuning instruction bilingual,minimal,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+7897,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7897-313295.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+7898,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7898-217864.",insurance grounded-qa fine-tuning instruction bilingual,stylized,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+7899,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ml engineer; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7899-181246.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+7900,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7900-955679.",insurance grounded-qa fine-tuning instruction bilingual,stylized,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+7901,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7901-521254.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+7902,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: data scientist; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7902-572593.",insurance grounded-qa fine-tuning instruction bilingual,stylized,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+7903,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: data scientist; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7903-359773.",insurance grounded-qa fine-tuning instruction bilingual,detailed,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+7904,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7904-751435.",insurance grounded-qa fine-tuning instruction bilingual,clean,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+7905,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7905-806168.",insurance grounded-qa fine-tuning instruction bilingual,detailed,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+7906,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7906-638086.",insurance grounded-qa fine-tuning instruction bilingual,stylized,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+7907,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7907-545933.",insurance grounded-qa fine-tuning instruction bilingual,clean,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+7908,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7908-770191.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+7909,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7909-903070.",insurance grounded-qa fine-tuning instruction bilingual,clean,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+7910,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: data scientist; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7910-497035.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+7911,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7911-881339.",insurance grounded-qa fine-tuning instruction bilingual,clean,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+7912,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-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: 7912-632737.",insurance grounded-qa fine-tuning instruction bilingual,clean,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+7913,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7913-749085.",insurance grounded-qa fine-tuning instruction bilingual,detailed,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+7914,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7914-603992.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+7915,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7915-709614.",insurance grounded-qa fine-tuning instruction bilingual,stylized,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+7916,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7916-937056.",insurance grounded-qa fine-tuning instruction bilingual,minimal,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+7917,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7917-861350.",insurance grounded-qa fine-tuning instruction bilingual,stylized,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+7918,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; 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: 7918-697331.",insurance grounded-qa fine-tuning instruction bilingual,minimal,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+7919,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7919-447394.",insurance grounded-qa fine-tuning instruction bilingual,stylized,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+7920,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7920-110287.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+7921,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7921-230933.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+7922,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; 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: 7922-758958.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+7923,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7923-570123.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+7924,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7924-659951.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+7925,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7925-749205.",insurance grounded-qa fine-tuning instruction bilingual,detailed,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+7926,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: BILINGUAL; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7926-332352.",insurance grounded-qa fine-tuning instruction bilingual,stylized,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+7927,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7927-928034.",insurance grounded-qa fine-tuning instruction bilingual,minimal,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+7928,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7928-264754.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+7929,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7929-435712.",insurance grounded-qa fine-tuning instruction bilingual,minimal,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+7930,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7930-259993.",insurance grounded-qa fine-tuning instruction bilingual,minimal,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+7931,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7931-219534.",insurance grounded-qa fine-tuning instruction bilingual,minimal,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+7932,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7932-516431.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+7933,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7933-936088.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+7934,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7934-356975.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+7935,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7935-608888.",insurance grounded-qa fine-tuning instruction bilingual,stylized,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+7936,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7936-749668.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+7937,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7937-846022.",insurance grounded-qa fine-tuning instruction bilingual,minimal,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+7938,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7938-224082.",insurance grounded-qa fine-tuning instruction bilingual,stylized,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+7939,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7939-403283.",insurance grounded-qa fine-tuning instruction bilingual,stylized,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+7940,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; 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: 7940-753820.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+7941,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: platform engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7941-512013.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+7942,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; 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: 7942-196349.",insurance grounded-qa fine-tuning instruction bilingual,stylized,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+7943,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ml engineer; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7943-857187.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+7944,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; 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: 7944-370813.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+7945,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7945-968958.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+7946,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7946-616428.",insurance grounded-qa fine-tuning instruction bilingual,minimal,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+7947,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7947-376836.",insurance grounded-qa fine-tuning instruction bilingual,detailed,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+7948,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; 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: 7948-626245.",insurance grounded-qa fine-tuning instruction bilingual,clean,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+7949,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: data scientist; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7949-933917.",insurance grounded-qa fine-tuning instruction bilingual,stylized,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+7950,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7950-878060.",insurance grounded-qa fine-tuning instruction bilingual,detailed,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+7951,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7951-547394.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+7952,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-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: 7952-619855.",insurance grounded-qa fine-tuning instruction bilingual,stylized,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+7953,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7953-374078.",insurance grounded-qa fine-tuning instruction bilingual,clean,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+7954,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ai researcher; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7954-694216.",insurance grounded-qa fine-tuning instruction bilingual,clean,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+7955,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7955-644240.",insurance grounded-qa fine-tuning instruction bilingual,minimal,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+7956,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7956-441970.",insurance grounded-qa fine-tuning instruction bilingual,minimal,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+7957,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7957-344751.",insurance grounded-qa fine-tuning instruction bilingual,stylized,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+7958,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: data scientist; Task: quality-check; Format: long-context; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7958-486943.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+7959,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: data scientist; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7959-626108.",insurance grounded-qa fine-tuning instruction bilingual,clean,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+7960,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7960-648414.",insurance grounded-qa fine-tuning instruction bilingual,minimal,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+7961,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7961-116535.",insurance grounded-qa fine-tuning instruction bilingual,minimal,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+7962,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-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: 7962-777095.",insurance grounded-qa fine-tuning instruction bilingual,detailed,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+7963,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7963-193406.",insurance grounded-qa fine-tuning instruction bilingual,minimal,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+7964,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7964-635768.",insurance grounded-qa fine-tuning instruction bilingual,detailed,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+7965,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7965-179328.",insurance grounded-qa fine-tuning instruction bilingual,detailed,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+7966,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ml engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7966-935762.",insurance grounded-qa fine-tuning instruction bilingual,minimal,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+7967,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: BILINGUAL; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7967-910470.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+7968,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7968-253756.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+7969,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ml engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7969-383759.",insurance grounded-qa fine-tuning instruction bilingual,stylized,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+7970,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; 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: 7970-993119.",insurance grounded-qa fine-tuning instruction bilingual,clean,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+7971,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; 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: 7971-563419.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+7972,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7972-597978.",insurance grounded-qa fine-tuning instruction bilingual,detailed,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+7973,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; 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: 7973-869687.",insurance grounded-qa fine-tuning instruction bilingual,stylized,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+7974,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; 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: 7974-241625.",insurance grounded-qa fine-tuning instruction bilingual,minimal,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+7975,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; 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: 7975-113417.",insurance grounded-qa fine-tuning instruction bilingual,stylized,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+7976,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; 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: 7976-881864.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+7977,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7977-300307.",insurance grounded-qa fine-tuning instruction bilingual,detailed,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+7978,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7978-765126.",insurance grounded-qa fine-tuning instruction bilingual,detailed,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+7979,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: BILINGUAL; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7979-194178.",insurance grounded-qa fine-tuning instruction bilingual,clean,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+7980,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7980-561657.",insurance grounded-qa fine-tuning instruction bilingual,clean,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+7981,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7981-147383.",insurance grounded-qa fine-tuning instruction bilingual,clean,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+7982,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-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: 7982-844751.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+7983,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ml engineer; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7983-484576.",insurance grounded-qa fine-tuning instruction bilingual,minimal,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+7984,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7984-243167.",insurance grounded-qa fine-tuning instruction bilingual,detailed,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+7985,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: data scientist; Task: benchmarking; Format: long-context; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7985-953281.",insurance grounded-qa fine-tuning instruction bilingual,stylized,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+7986,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7986-443257.",insurance grounded-qa fine-tuning instruction bilingual,detailed,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+7987,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7987-880317.",insurance grounded-qa fine-tuning instruction bilingual,clean,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+7988,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7988-718355.",insurance grounded-qa fine-tuning instruction bilingual,stylized,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+7989,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7989-687472.",insurance grounded-qa fine-tuning instruction bilingual,detailed,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+7990,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7990-514173.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+7991,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-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: 7991-829264.",insurance grounded-qa fine-tuning instruction bilingual,clean,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+7992,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; 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: 7992-747183.",insurance grounded-qa fine-tuning instruction bilingual,clean,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+7993,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; 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: 7993-547506.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+7994,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7994-842574.",insurance grounded-qa fine-tuning instruction bilingual,clean,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+7995,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7995-148208.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+7996,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; 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: 7996-125027.",insurance grounded-qa fine-tuning instruction bilingual,stylized,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+7997,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: data scientist; Task: benchmarking; Format: long-context; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7997-127211.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+7998,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7998-135287.",insurance grounded-qa fine-tuning instruction bilingual,minimal,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+7999,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ai researcher; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7999-659176.",insurance grounded-qa fine-tuning instruction bilingual,detailed,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+8000,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8000-223292.",insurance grounded-qa fine-tuning instruction bilingual,minimal,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+8001,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8001-120301.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+8002,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; 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: 8002-880725.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+8003,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8003-932663.",insurance grounded-qa fine-tuning instruction bilingual,minimal,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+8004,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8004-926726.",insurance grounded-qa fine-tuning instruction bilingual,detailed,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+8005,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8005-738454.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+8006,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8006-339491.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+8007,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; 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: 8007-921145.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+8008,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ai researcher; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8008-804400.",insurance grounded-qa fine-tuning instruction bilingual,clean,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+8009,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; 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: 8009-253261.",insurance grounded-qa fine-tuning instruction bilingual,detailed,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+8010,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8010-937909.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+8011,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8011-301132.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+8012,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8012-234496.",insurance grounded-qa fine-tuning instruction bilingual,minimal,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+8013,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: data scientist; Task: benchmarking; Format: long-context; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8013-560888.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+8014,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8014-248707.",insurance grounded-qa fine-tuning instruction bilingual,minimal,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+8015,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: BILINGUAL; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8015-531895.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+8016,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8016-294396.",insurance grounded-qa fine-tuning instruction bilingual,detailed,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+8017,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8017-857480.",insurance grounded-qa fine-tuning instruction bilingual,clean,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+8018,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8018-149257.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+8019,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8019-345662.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+8020,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8020-912741.",insurance grounded-qa fine-tuning instruction bilingual,stylized,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+8021,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8021-202861.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+8022,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8022-697841.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+8023,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: platform engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8023-778310.",insurance grounded-qa fine-tuning instruction bilingual,stylized,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+8024,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8024-443435.",insurance grounded-qa fine-tuning instruction bilingual,detailed,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+8025,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: data scientist; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8025-441481.",insurance grounded-qa fine-tuning instruction bilingual,minimal,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+8026,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8026-903259.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+8027,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; 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: 8027-568929.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+8028,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8028-660129.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+8029,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8029-525018.",insurance grounded-qa fine-tuning instruction bilingual,clean,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+8030,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8030-601354.",insurance grounded-qa fine-tuning instruction bilingual,minimal,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+8031,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8031-473606.",insurance grounded-qa fine-tuning instruction bilingual,clean,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+8032,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ml engineer; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8032-165162.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+8033,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8033-992268.",insurance grounded-qa fine-tuning instruction bilingual,stylized,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+8034,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8034-107472.",insurance grounded-qa fine-tuning instruction bilingual,clean,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+8035,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8035-126825.",insurance grounded-qa fine-tuning instruction bilingual,stylized,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+8036,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: data scientist; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8036-858163.",insurance grounded-qa fine-tuning instruction bilingual,detailed,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+8037,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-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: 8037-705013.",insurance grounded-qa fine-tuning instruction bilingual,detailed,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+8038,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8038-834005.",insurance grounded-qa fine-tuning instruction bilingual,minimal,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+8039,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8039-351065.",insurance grounded-qa fine-tuning instruction bilingual,stylized,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+8040,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8040-541184.",insurance grounded-qa fine-tuning instruction bilingual,detailed,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+8041,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8041-264569.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+8042,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8042-406661.",insurance grounded-qa fine-tuning instruction bilingual,minimal,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+8043,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8043-680739.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+8044,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ml engineer; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8044-931215.",insurance grounded-qa fine-tuning instruction bilingual,stylized,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+8045,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8045-497283.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+8046,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8046-797836.",insurance grounded-qa fine-tuning instruction bilingual,clean,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+8047,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8047-288569.",insurance grounded-qa fine-tuning instruction bilingual,stylized,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+8048,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8048-154223.",insurance grounded-qa fine-tuning instruction bilingual,minimal,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+8049,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8049-782559.",insurance grounded-qa fine-tuning instruction bilingual,stylized,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+8050,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8050-542744.",insurance grounded-qa fine-tuning instruction bilingual,stylized,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+8051,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8051-471872.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+8052,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8052-614477.",insurance grounded-qa fine-tuning instruction bilingual,detailed,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+8053,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: data scientist; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8053-224856.",insurance grounded-qa fine-tuning instruction bilingual,stylized,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+8054,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: platform engineer; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8054-947322.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+8055,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8055-117891.",insurance grounded-qa fine-tuning instruction bilingual,minimal,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+8056,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8056-289139.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+8057,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ml engineer; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8057-538857.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+8058,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8058-112469.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+8059,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8059-718624.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+8060,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8060-506399.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+8061,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8061-986697.",insurance grounded-qa fine-tuning instruction bilingual,detailed,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+8062,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8062-328812.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+8063,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8063-965457.",insurance grounded-qa fine-tuning instruction bilingual,clean,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+8064,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8064-863072.",insurance grounded-qa fine-tuning instruction bilingual,minimal,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+8065,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; 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: 8065-956191.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+8066,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; 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: 8066-137139.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+8067,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-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: 8067-600224.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+8068,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8068-349689.",insurance grounded-qa fine-tuning instruction bilingual,minimal,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+8069,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: BILINGUAL; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8069-851606.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+8070,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8070-288011.",insurance grounded-qa fine-tuning instruction bilingual,minimal,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+8071,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ml engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8071-830179.",insurance grounded-qa fine-tuning instruction bilingual,detailed,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+8072,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8072-215657.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+8073,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8073-529579.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+8074,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8074-317731.",insurance grounded-qa fine-tuning instruction bilingual,stylized,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+8075,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; 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: 8075-555481.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+8076,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8076-778440.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+8077,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: BILINGUAL; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8077-932946.",insurance grounded-qa fine-tuning instruction bilingual,minimal,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+8078,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: data scientist; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8078-816245.",insurance grounded-qa fine-tuning instruction bilingual,clean,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+8079,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8079-684744.",insurance grounded-qa fine-tuning instruction bilingual,stylized,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+8080,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8080-861214.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+8081,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: BILINGUAL; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8081-208851.",insurance grounded-qa fine-tuning instruction bilingual,stylized,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+8082,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-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: 8082-216846.",insurance grounded-qa fine-tuning instruction bilingual,clean,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+8083,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; 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: 8083-504488.",insurance grounded-qa fine-tuning instruction bilingual,minimal,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+8084,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8084-571497.",insurance grounded-qa fine-tuning instruction bilingual,detailed,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+8085,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: data scientist; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8085-300551.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+8086,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8086-510110.",insurance grounded-qa fine-tuning instruction bilingual,minimal,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+8087,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8087-490389.",insurance grounded-qa fine-tuning instruction bilingual,stylized,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+8088,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; 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: 8088-376176.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+8089,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-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: 8089-131543.",insurance grounded-qa fine-tuning instruction bilingual,stylized,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+8090,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: data scientist; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8090-221899.",insurance grounded-qa fine-tuning instruction bilingual,minimal,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+8091,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8091-185219.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+8092,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ai researcher; Task: quality-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8092-644092.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+8093,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8093-408326.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+8094,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; 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: 8094-842439.",insurance grounded-qa fine-tuning instruction bilingual,clean,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+8095,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; 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: 8095-982892.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+8096,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8096-241225.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+8097,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8097-150706.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+8098,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ai researcher; Task: quality-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8098-943770.",insurance grounded-qa fine-tuning instruction bilingual,stylized,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+8099,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8099-202123.",insurance grounded-qa fine-tuning instruction bilingual,detailed,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+8100,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8100-843914.",insurance grounded-qa fine-tuning instruction bilingual,stylized,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+8101,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8101-184315.",insurance grounded-qa fine-tuning instruction bilingual,detailed,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+8102,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; 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: 8102-515883.",insurance grounded-qa fine-tuning instruction bilingual,detailed,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+8103,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: BILINGUAL; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8103-843726.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+8104,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8104-316683.",insurance grounded-qa fine-tuning instruction bilingual,clean,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+8105,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8105-153438.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+8106,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-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: 8106-885200.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+8107,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8107-522024.",insurance grounded-qa fine-tuning instruction bilingual,stylized,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+8108,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8108-319247.",insurance grounded-qa fine-tuning instruction bilingual,stylized,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+8109,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8109-945560.",insurance grounded-qa fine-tuning instruction bilingual,minimal,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+8110,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8110-716122.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+8111,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ai researcher; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8111-969394.",insurance grounded-qa fine-tuning instruction bilingual,detailed,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+8112,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8112-659441.",insurance grounded-qa fine-tuning instruction bilingual,minimal,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+8113,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8113-161308.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+8114,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8114-842410.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+8115,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-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: 8115-444874.",insurance grounded-qa fine-tuning instruction bilingual,stylized,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+8116,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8116-567233.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+8117,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: data scientist; Task: grounding-check; Format: long-context; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8117-236485.",insurance grounded-qa fine-tuning instruction bilingual,stylized,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+8118,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ai researcher; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8118-297857.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+8119,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8119-998000.",insurance grounded-qa fine-tuning instruction bilingual,minimal,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+8120,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; 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: 8120-128999.",insurance grounded-qa fine-tuning instruction bilingual,stylized,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+8121,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-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: 8121-285859.",insurance grounded-qa fine-tuning instruction bilingual,minimal,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+8122,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8122-201674.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+8123,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: BILINGUAL; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8123-326539.",insurance grounded-qa fine-tuning instruction bilingual,detailed,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+8124,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8124-126168.",insurance grounded-qa fine-tuning instruction bilingual,minimal,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+8125,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8125-850377.",insurance grounded-qa fine-tuning instruction bilingual,detailed,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+8126,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8126-619523.",insurance grounded-qa fine-tuning instruction bilingual,minimal,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+8127,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8127-203446.",insurance grounded-qa fine-tuning instruction bilingual,detailed,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+8128,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; 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: 8128-142767.",insurance grounded-qa fine-tuning instruction bilingual,minimal,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+8129,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8129-944103.",insurance grounded-qa fine-tuning instruction bilingual,clean,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+8130,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; 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: 8130-163688.",insurance grounded-qa fine-tuning instruction bilingual,clean,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+8131,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8131-718909.",insurance grounded-qa fine-tuning instruction bilingual,clean,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+8132,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: BILINGUAL; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8132-739691.",insurance grounded-qa fine-tuning instruction bilingual,stylized,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+8133,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8133-580579.",insurance grounded-qa fine-tuning instruction bilingual,clean,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+8134,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; 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: 8134-339128.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+8135,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; 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: 8135-160326.",insurance grounded-qa fine-tuning instruction bilingual,stylized,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+8136,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; 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: 8136-454585.",insurance grounded-qa fine-tuning instruction bilingual,minimal,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+8137,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8137-761865.",insurance grounded-qa fine-tuning instruction bilingual,minimal,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+8138,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: data scientist; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8138-882555.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+8139,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8139-491229.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+8140,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8140-777685.",insurance grounded-qa fine-tuning instruction bilingual,stylized,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+8141,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ai researcher; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8141-631316.",insurance grounded-qa fine-tuning instruction bilingual,minimal,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+8142,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8142-771492.",insurance grounded-qa fine-tuning instruction bilingual,minimal,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+8143,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8143-988304.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+8144,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-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: 8144-220210.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+8145,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8145-524945.",insurance grounded-qa fine-tuning instruction bilingual,detailed,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+8146,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8146-756036.",insurance grounded-qa fine-tuning instruction bilingual,clean,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+8147,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8147-187065.",insurance grounded-qa fine-tuning instruction bilingual,stylized,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+8148,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: data scientist; Task: robustness-check; Format: long-context; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8148-394659.",insurance grounded-qa fine-tuning instruction bilingual,detailed,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+8149,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8149-956242.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+8150,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8150-644858.",insurance grounded-qa fine-tuning instruction bilingual,clean,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+8151,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8151-582343.",insurance grounded-qa fine-tuning instruction bilingual,detailed,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+8152,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8152-169685.",insurance grounded-qa fine-tuning instruction bilingual,detailed,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+8153,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; 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: 8153-866003.",insurance grounded-qa fine-tuning instruction bilingual,minimal,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+8154,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: BILINGUAL; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8154-641554.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+8155,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: data scientist; Task: robustness-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8155-375865.",insurance grounded-qa fine-tuning instruction bilingual,clean,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+8156,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8156-806732.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+8157,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8157-859001.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+8158,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8158-115821.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+8159,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-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: 8159-792121.",insurance grounded-qa fine-tuning instruction bilingual,stylized,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+8160,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8160-282977.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+8161,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-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: 8161-151524.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+8162,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; 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: 8162-734138.",insurance grounded-qa fine-tuning instruction bilingual,minimal,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+8163,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8163-126254.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+8164,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; 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: 8164-643267.",insurance grounded-qa fine-tuning instruction bilingual,minimal,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+8165,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8165-744744.",insurance grounded-qa fine-tuning instruction bilingual,detailed,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+8166,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8166-617583.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+8167,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8167-353847.",insurance grounded-qa fine-tuning instruction bilingual,detailed,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+8168,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8168-286642.",insurance grounded-qa fine-tuning instruction bilingual,minimal,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+8169,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8169-695610.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+8170,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8170-583350.",insurance grounded-qa fine-tuning instruction bilingual,stylized,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+8171,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8171-497134.",insurance grounded-qa fine-tuning instruction bilingual,stylized,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+8172,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8172-380868.",insurance grounded-qa fine-tuning instruction bilingual,stylized,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+8173,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-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: 8173-334701.",insurance grounded-qa fine-tuning instruction bilingual,minimal,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+8174,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8174-212717.",insurance grounded-qa fine-tuning instruction bilingual,clean,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+8175,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; 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: 8175-728462.",insurance grounded-qa fine-tuning instruction bilingual,stylized,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+8176,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8176-770714.",insurance grounded-qa fine-tuning instruction bilingual,minimal,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+8177,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: data scientist; Task: robustness-check; Format: long-context; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8177-781397.",insurance grounded-qa fine-tuning instruction bilingual,detailed,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+8178,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: BILINGUAL; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8178-995015.",insurance grounded-qa fine-tuning instruction bilingual,detailed,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+8179,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; 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: 8179-920956.",insurance grounded-qa fine-tuning instruction bilingual,stylized,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+8180,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8180-924772.",insurance grounded-qa fine-tuning instruction bilingual,minimal,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+8181,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8181-955298.",insurance grounded-qa fine-tuning instruction bilingual,stylized,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+8182,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8182-605060.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+8183,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8183-676330.",insurance grounded-qa fine-tuning instruction bilingual,detailed,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+8184,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-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: 8184-326002.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+8185,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: platform engineer; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8185-317251.",insurance grounded-qa fine-tuning instruction bilingual,stylized,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+8186,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; 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: 8186-347047.",insurance grounded-qa fine-tuning instruction bilingual,stylized,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+8187,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8187-210985.",insurance grounded-qa fine-tuning instruction bilingual,clean,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+8188,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8188-717832.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+8189,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8189-656382.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+8190,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8190-359654.",insurance grounded-qa fine-tuning instruction bilingual,detailed,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+8191,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8191-560109.",insurance grounded-qa fine-tuning instruction bilingual,detailed,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+8192,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8192-658624.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+8193,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; 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: 8193-188289.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+8194,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8194-785148.",insurance grounded-qa fine-tuning instruction bilingual,minimal,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+8195,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8195-521019.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+8196,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ml engineer; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8196-986917.",insurance grounded-qa fine-tuning instruction bilingual,stylized,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+8197,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: data scientist; Task: benchmarking; Format: long-context; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8197-956909.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+8198,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8198-833615.",insurance grounded-qa fine-tuning instruction bilingual,minimal,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+8199,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8199-846721.",insurance grounded-qa fine-tuning instruction bilingual,minimal,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+8200,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: data scientist; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8200-710695.",insurance grounded-qa fine-tuning instruction bilingual,minimal,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+8201,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8201-202437.",insurance grounded-qa fine-tuning instruction bilingual,stylized,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+8202,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-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: 8202-117512.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+8203,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8203-496664.",insurance grounded-qa fine-tuning instruction bilingual,clean,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+8204,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8204-197048.",insurance grounded-qa fine-tuning instruction bilingual,detailed,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+8205,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8205-113962.",insurance grounded-qa fine-tuning instruction bilingual,clean,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+8206,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8206-350523.",insurance grounded-qa fine-tuning instruction bilingual,clean,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+8207,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8207-572550.",insurance grounded-qa fine-tuning instruction bilingual,stylized,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+8208,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8208-437671.",insurance grounded-qa fine-tuning instruction bilingual,stylized,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+8209,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8209-420041.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+8210,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8210-117834.",insurance grounded-qa fine-tuning instruction bilingual,minimal,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+8211,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8211-148334.",insurance grounded-qa fine-tuning instruction bilingual,clean,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+8212,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8212-318080.",insurance grounded-qa fine-tuning instruction bilingual,minimal,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+8213,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: platform engineer; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8213-490781.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+8214,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8214-187818.",insurance grounded-qa fine-tuning instruction bilingual,minimal,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+8215,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8215-469754.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+8216,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8216-786111.",insurance grounded-qa fine-tuning instruction bilingual,clean,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+8217,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: data scientist; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8217-478937.",insurance grounded-qa fine-tuning instruction bilingual,stylized,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+8218,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8218-622713.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+8219,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8219-712700.",insurance grounded-qa fine-tuning instruction bilingual,detailed,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+8220,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8220-779322.",insurance grounded-qa fine-tuning instruction bilingual,minimal,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+8221,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ml engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8221-502940.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+8222,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; 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: 8222-857002.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+8223,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8223-435216.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+8224,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8224-319687.",insurance grounded-qa fine-tuning instruction bilingual,stylized,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+8225,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8225-437124.",insurance grounded-qa fine-tuning instruction bilingual,stylized,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+8226,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8226-582820.",insurance grounded-qa fine-tuning instruction bilingual,stylized,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+8227,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8227-960386.",insurance grounded-qa fine-tuning instruction bilingual,detailed,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+8228,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8228-552324.",insurance grounded-qa fine-tuning instruction bilingual,stylized,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+8229,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8229-438472.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+8230,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8230-144418.",insurance grounded-qa fine-tuning instruction bilingual,detailed,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+8231,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8231-599033.",insurance grounded-qa fine-tuning instruction bilingual,clean,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+8232,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8232-180889.",insurance grounded-qa fine-tuning instruction bilingual,minimal,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+8233,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8233-238048.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+8234,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8234-701201.",insurance grounded-qa fine-tuning instruction bilingual,stylized,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+8235,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: BILINGUAL; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8235-269443.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+8236,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; 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: 8236-993624.",insurance grounded-qa fine-tuning instruction bilingual,clean,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+8237,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; 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: 8237-147386.",insurance grounded-qa fine-tuning instruction bilingual,stylized,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+8238,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8238-826186.",insurance grounded-qa fine-tuning instruction bilingual,minimal,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+8239,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: platform engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8239-242941.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+8240,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8240-394526.",insurance grounded-qa fine-tuning instruction bilingual,stylized,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+8241,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8241-385792.",insurance grounded-qa fine-tuning instruction bilingual,clean,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+8242,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8242-203633.",insurance grounded-qa fine-tuning instruction bilingual,stylized,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+8243,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-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: 8243-752632.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+8244,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: data scientist; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8244-703434.",insurance grounded-qa fine-tuning instruction bilingual,stylized,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+8245,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8245-322463.",insurance grounded-qa fine-tuning instruction bilingual,stylized,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+8246,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8246-181479.",insurance grounded-qa fine-tuning instruction bilingual,minimal,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+8247,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8247-461267.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+8248,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8248-475125.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+8249,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8249-405202.",insurance grounded-qa fine-tuning instruction bilingual,detailed,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+8250,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; 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: 8250-885053.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+8251,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8251-136249.",insurance grounded-qa fine-tuning instruction bilingual,clean,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+8252,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8252-384243.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+8253,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8253-367463.",insurance grounded-qa fine-tuning instruction bilingual,minimal,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+8254,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; 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: 8254-871574.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+8255,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; 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: 8255-603665.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+8256,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8256-995634.",insurance grounded-qa fine-tuning instruction bilingual,stylized,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+8257,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; 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: 8257-553674.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+8258,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8258-217412.",insurance grounded-qa fine-tuning instruction bilingual,stylized,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+8259,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; 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: 8259-973011.",insurance grounded-qa fine-tuning instruction bilingual,clean,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+8260,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8260-683126.",insurance grounded-qa fine-tuning instruction bilingual,stylized,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+8261,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-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: 8261-181071.",insurance grounded-qa fine-tuning instruction bilingual,stylized,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+8262,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8262-455538.",insurance grounded-qa fine-tuning instruction bilingual,clean,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+8263,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ai researcher; Task: quality-check; Format: long-context; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8263-300368.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+8264,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8264-450519.",insurance grounded-qa fine-tuning instruction bilingual,detailed,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+8265,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: platform engineer; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8265-978438.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+8266,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; 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: 8266-708779.",insurance grounded-qa fine-tuning instruction bilingual,clean,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+8267,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8267-517082.",insurance grounded-qa fine-tuning instruction bilingual,clean,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+8268,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8268-717563.",insurance grounded-qa fine-tuning instruction bilingual,clean,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+8269,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: BILINGUAL; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8269-307821.",insurance grounded-qa fine-tuning instruction bilingual,detailed,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+8270,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8270-237586.",insurance grounded-qa fine-tuning instruction bilingual,minimal,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+8271,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8271-813124.",insurance grounded-qa fine-tuning instruction bilingual,detailed,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+8272,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8272-688314.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+8273,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8273-616833.",insurance grounded-qa fine-tuning instruction bilingual,stylized,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+8274,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8274-990335.",insurance grounded-qa fine-tuning instruction bilingual,stylized,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+8275,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: data scientist; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8275-575231.",insurance grounded-qa fine-tuning instruction bilingual,minimal,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+8276,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8276-872306.",insurance grounded-qa fine-tuning instruction bilingual,clean,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+8277,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; 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: 8277-177147.",insurance grounded-qa fine-tuning instruction bilingual,stylized,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+8278,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ai researcher; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8278-273163.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+8279,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8279-133690.",insurance grounded-qa fine-tuning instruction bilingual,clean,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+8280,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8280-129195.",insurance grounded-qa fine-tuning instruction bilingual,stylized,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+8281,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: BILINGUAL; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8281-149888.",insurance grounded-qa fine-tuning instruction bilingual,stylized,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+8282,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8282-561863.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+8283,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8283-551971.",insurance grounded-qa fine-tuning instruction bilingual,minimal,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+8284,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: data scientist; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8284-390506.",insurance grounded-qa fine-tuning instruction bilingual,stylized,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+8285,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8285-924337.",insurance grounded-qa fine-tuning instruction bilingual,detailed,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+8286,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-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: 8286-888743.",insurance grounded-qa fine-tuning instruction bilingual,stylized,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+8287,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: BILINGUAL; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8287-210048.",insurance grounded-qa fine-tuning instruction bilingual,detailed,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+8288,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8288-151825.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+8289,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8289-148863.",insurance grounded-qa fine-tuning instruction bilingual,stylized,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+8290,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8290-139738.",insurance grounded-qa fine-tuning instruction bilingual,stylized,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+8291,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; 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: 8291-634490.",insurance grounded-qa fine-tuning instruction bilingual,stylized,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+8292,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8292-759911.",insurance grounded-qa fine-tuning instruction bilingual,minimal,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+8293,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8293-950870.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+8294,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ml engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8294-393854.",insurance grounded-qa fine-tuning instruction bilingual,detailed,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+8295,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; 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: 8295-492047.",insurance grounded-qa fine-tuning instruction bilingual,detailed,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+8296,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-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: 8296-676809.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+8297,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8297-189094.",insurance grounded-qa fine-tuning instruction bilingual,stylized,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+8298,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8298-835410.",insurance grounded-qa fine-tuning instruction bilingual,stylized,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+8299,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8299-371343.",insurance grounded-qa fine-tuning instruction bilingual,stylized,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+8300,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ml engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8300-815554.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+8301,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: data scientist; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8301-367255.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+8302,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ml engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8302-854446.",insurance grounded-qa fine-tuning instruction bilingual,detailed,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+8303,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: data scientist; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8303-156463.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+8304,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8304-993450.",insurance grounded-qa fine-tuning instruction bilingual,clean,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+8305,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8305-326841.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+8306,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8306-184344.",insurance grounded-qa fine-tuning instruction bilingual,detailed,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+8307,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8307-927713.",insurance grounded-qa fine-tuning instruction bilingual,minimal,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+8308,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: data scientist; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8308-364963.",insurance grounded-qa fine-tuning instruction bilingual,clean,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+8309,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8309-266090.",insurance grounded-qa fine-tuning instruction bilingual,stylized,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+8310,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8310-124367.",insurance grounded-qa fine-tuning instruction bilingual,clean,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+8311,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8311-490589.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+8312,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8312-767552.",insurance grounded-qa fine-tuning instruction bilingual,detailed,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+8313,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8313-397416.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+8314,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8314-750714.",insurance grounded-qa fine-tuning instruction bilingual,stylized,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+8315,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8315-834326.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+8316,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8316-622380.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+8317,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: data scientist; Task: robustness-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8317-632204.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+8318,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8318-156066.",insurance grounded-qa fine-tuning instruction bilingual,clean,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+8319,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8319-850106.",insurance grounded-qa fine-tuning instruction bilingual,minimal,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+8320,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; 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: 8320-531475.",insurance grounded-qa fine-tuning instruction bilingual,stylized,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+8321,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8321-222632.",insurance grounded-qa fine-tuning instruction bilingual,minimal,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+8322,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8322-251474.",insurance grounded-qa fine-tuning instruction bilingual,stylized,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+8323,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-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: 8323-590761.",insurance grounded-qa fine-tuning instruction bilingual,stylized,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+8324,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8324-123487.",insurance grounded-qa fine-tuning instruction bilingual,minimal,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+8325,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8325-568210.",insurance grounded-qa fine-tuning instruction bilingual,stylized,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+8326,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8326-448228.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+8327,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ai researcher; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8327-670574.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+8328,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; 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: 8328-418799.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+8329,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8329-479370.",insurance grounded-qa fine-tuning instruction bilingual,minimal,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+8330,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8330-200711.",insurance grounded-qa fine-tuning instruction bilingual,clean,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+8331,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8331-390397.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+8332,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8332-830109.",insurance grounded-qa fine-tuning instruction bilingual,minimal,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+8333,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8333-608263.",insurance grounded-qa fine-tuning instruction bilingual,stylized,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+8334,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8334-828037.",insurance grounded-qa fine-tuning instruction bilingual,stylized,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+8335,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8335-750929.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+8336,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-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: 8336-108651.",insurance grounded-qa fine-tuning instruction bilingual,minimal,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+8337,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8337-733256.",insurance grounded-qa fine-tuning instruction bilingual,minimal,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+8338,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8338-488347.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+8339,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8339-211325.",insurance grounded-qa fine-tuning instruction bilingual,minimal,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+8340,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; 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: 8340-672881.",insurance grounded-qa fine-tuning instruction bilingual,clean,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+8341,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8341-830304.",insurance grounded-qa fine-tuning instruction bilingual,minimal,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+8342,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8342-875686.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+8343,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8343-755606.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+8344,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; 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: 8344-888381.",insurance grounded-qa fine-tuning instruction bilingual,minimal,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+8345,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: data scientist; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8345-690224.",insurance grounded-qa fine-tuning instruction bilingual,minimal,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+8346,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: data scientist; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8346-824414.",insurance grounded-qa fine-tuning instruction bilingual,stylized,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+8347,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8347-862959.",insurance grounded-qa fine-tuning instruction bilingual,detailed,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+8348,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8348-434334.",insurance grounded-qa fine-tuning instruction bilingual,minimal,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+8349,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: BILINGUAL; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8349-637173.",insurance grounded-qa fine-tuning instruction bilingual,stylized,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+8350,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8350-383484.",insurance grounded-qa fine-tuning instruction bilingual,stylized,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+8351,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: BILINGUAL; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8351-438364.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+8352,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8352-122192.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+8353,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: data scientist; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8353-924780.",insurance grounded-qa fine-tuning instruction bilingual,minimal,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+8354,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8354-356430.",insurance grounded-qa fine-tuning instruction bilingual,clean,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+8355,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8355-345408.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+8356,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; 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: 8356-152159.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+8357,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8357-355414.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+8358,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; 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: 8358-724891.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+8359,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8359-972921.",insurance grounded-qa fine-tuning instruction bilingual,stylized,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+8360,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8360-913870.",insurance grounded-qa fine-tuning instruction bilingual,stylized,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+8361,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: BILINGUAL; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8361-236127.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+8362,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8362-174744.",insurance grounded-qa fine-tuning instruction bilingual,detailed,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+8363,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; 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: 8363-937453.",insurance grounded-qa fine-tuning instruction bilingual,stylized,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+8364,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8364-464815.",insurance grounded-qa fine-tuning instruction bilingual,clean,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+8365,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8365-781713.",insurance grounded-qa fine-tuning instruction bilingual,detailed,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+8366,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8366-642544.",insurance grounded-qa fine-tuning instruction bilingual,minimal,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+8367,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8367-555388.",insurance grounded-qa fine-tuning instruction bilingual,minimal,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+8368,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8368-850650.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+8369,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: BILINGUAL; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8369-836672.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+8370,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: data scientist; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8370-545340.",insurance grounded-qa fine-tuning instruction bilingual,minimal,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+8371,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8371-985021.",insurance grounded-qa fine-tuning instruction bilingual,stylized,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+8372,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; 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: 8372-501385.",insurance grounded-qa fine-tuning instruction bilingual,clean,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+8373,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ml engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8373-671440.",insurance grounded-qa fine-tuning instruction bilingual,clean,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+8374,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8374-108108.",insurance grounded-qa fine-tuning instruction bilingual,stylized,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+8375,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; 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: 8375-322665.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+8376,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8376-638181.",insurance grounded-qa fine-tuning instruction bilingual,detailed,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+8377,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8377-813716.",insurance grounded-qa fine-tuning instruction bilingual,detailed,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+8378,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8378-411408.",insurance grounded-qa fine-tuning instruction bilingual,minimal,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+8379,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8379-109627.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+8380,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8380-101928.",insurance grounded-qa fine-tuning instruction bilingual,stylized,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+8381,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8381-246054.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+8382,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8382-556441.",insurance grounded-qa fine-tuning instruction bilingual,minimal,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+8383,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-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: 8383-614883.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+8384,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8384-422438.",insurance grounded-qa fine-tuning instruction bilingual,clean,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+8385,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8385-879897.",insurance grounded-qa fine-tuning instruction bilingual,minimal,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+8386,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: data scientist; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8386-587210.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+8387,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8387-469776.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+8388,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8388-675421.",insurance grounded-qa fine-tuning instruction bilingual,minimal,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+8389,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: BILINGUAL; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8389-601685.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+8390,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-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: 8390-113707.",insurance grounded-qa fine-tuning instruction bilingual,detailed,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+8391,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8391-808470.",insurance grounded-qa fine-tuning instruction bilingual,stylized,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+8392,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8392-619033.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+8393,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8393-740058.",insurance grounded-qa fine-tuning instruction bilingual,clean,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+8394,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ml engineer; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8394-378191.",insurance grounded-qa fine-tuning instruction bilingual,minimal,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+8395,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8395-471518.",insurance grounded-qa fine-tuning instruction bilingual,stylized,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+8396,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; 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: 8396-765189.",insurance grounded-qa fine-tuning instruction bilingual,clean,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+8397,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8397-679686.",insurance grounded-qa fine-tuning instruction bilingual,clean,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+8398,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8398-740781.",insurance grounded-qa fine-tuning instruction bilingual,clean,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+8399,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8399-715784.",insurance grounded-qa fine-tuning instruction bilingual,minimal,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+8400,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8400-385396.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+8401,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8401-432701.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+8402,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8402-239541.",insurance grounded-qa fine-tuning instruction bilingual,minimal,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+8403,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8403-713488.",insurance grounded-qa fine-tuning instruction bilingual,clean,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+8404,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; 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: 8404-573143.",insurance grounded-qa fine-tuning instruction bilingual,clean,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+8405,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: BILINGUAL; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8405-866107.",insurance grounded-qa fine-tuning instruction bilingual,detailed,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+8406,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-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: 8406-820723.",insurance grounded-qa fine-tuning instruction bilingual,detailed,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+8407,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8407-767142.",insurance grounded-qa fine-tuning instruction bilingual,minimal,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+8408,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8408-122435.",insurance grounded-qa fine-tuning instruction bilingual,stylized,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+8409,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8409-719264.",insurance grounded-qa fine-tuning instruction bilingual,clean,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+8410,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8410-960568.",insurance grounded-qa fine-tuning instruction bilingual,minimal,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+8411,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8411-989481.",insurance grounded-qa fine-tuning instruction bilingual,minimal,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+8412,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: data scientist; Task: benchmarking; Format: long-context; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8412-427197.",insurance grounded-qa fine-tuning instruction bilingual,stylized,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+8413,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: data scientist; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8413-108064.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+8414,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8414-769359.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+8415,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; 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: 8415-478071.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+8416,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8416-213054.",insurance grounded-qa fine-tuning instruction bilingual,detailed,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+8417,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8417-167692.",insurance grounded-qa fine-tuning instruction bilingual,stylized,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+8418,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8418-344071.",insurance grounded-qa fine-tuning instruction bilingual,minimal,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+8419,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; 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: 8419-206226.",insurance grounded-qa fine-tuning instruction bilingual,detailed,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+8420,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8420-480011.",insurance grounded-qa fine-tuning instruction bilingual,clean,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+8421,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-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: 8421-361920.",insurance grounded-qa fine-tuning instruction bilingual,clean,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+8422,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8422-799226.",insurance grounded-qa fine-tuning instruction bilingual,detailed,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+8423,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8423-330086.",insurance grounded-qa fine-tuning instruction bilingual,clean,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+8424,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8424-753491.",insurance grounded-qa fine-tuning instruction bilingual,stylized,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+8425,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8425-552693.",insurance grounded-qa fine-tuning instruction bilingual,clean,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+8426,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: BILINGUAL; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8426-944291.",insurance grounded-qa fine-tuning instruction bilingual,detailed,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+8427,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8427-476682.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+8428,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8428-679689.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+8429,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8429-180523.",insurance grounded-qa fine-tuning instruction bilingual,stylized,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+8430,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ai researcher; Task: quality-check; Format: long-context; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8430-500147.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+8431,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8431-984152.",insurance grounded-qa fine-tuning instruction bilingual,detailed,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+8432,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: platform engineer; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8432-704758.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+8433,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8433-791577.",insurance grounded-qa fine-tuning instruction bilingual,clean,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+8434,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8434-917577.",insurance grounded-qa fine-tuning instruction bilingual,minimal,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+8435,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: data scientist; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8435-130258.",insurance grounded-qa fine-tuning instruction bilingual,minimal,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+8436,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: platform engineer; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8436-781505.",insurance grounded-qa fine-tuning instruction bilingual,detailed,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+8437,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8437-800712.",insurance grounded-qa fine-tuning instruction bilingual,detailed,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+8438,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8438-140370.",insurance grounded-qa fine-tuning instruction bilingual,detailed,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+8439,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8439-242080.",insurance grounded-qa fine-tuning instruction bilingual,stylized,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+8440,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8440-266169.",insurance grounded-qa fine-tuning instruction bilingual,stylized,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+8441,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; 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: 8441-930395.",insurance grounded-qa fine-tuning instruction bilingual,stylized,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+8442,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8442-960088.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+8443,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8443-104006.",insurance grounded-qa fine-tuning instruction bilingual,clean,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+8444,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: platform engineer; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8444-554734.",insurance grounded-qa fine-tuning instruction bilingual,stylized,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+8445,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8445-352030.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+8446,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: data scientist; Task: quality-check; Format: long-context; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8446-611685.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+8447,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8447-925583.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+8448,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8448-190217.",insurance grounded-qa fine-tuning instruction bilingual,stylized,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+8449,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: BILINGUAL; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8449-403177.",insurance grounded-qa fine-tuning instruction bilingual,stylized,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+8450,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8450-464166.",insurance grounded-qa fine-tuning instruction bilingual,minimal,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+8451,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; 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: 8451-178228.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+8452,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8452-914535.",insurance grounded-qa fine-tuning instruction bilingual,detailed,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+8453,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8453-123278.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+8454,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8454-702911.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+8455,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8455-108936.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+8456,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; 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: 8456-123708.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+8457,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8457-640878.",insurance grounded-qa fine-tuning instruction bilingual,clean,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+8458,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8458-591947.",insurance grounded-qa fine-tuning instruction bilingual,minimal,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+8459,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8459-485921.",insurance grounded-qa fine-tuning instruction bilingual,minimal,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+8460,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: BILINGUAL; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8460-767554.",insurance grounded-qa fine-tuning instruction bilingual,clean,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+8461,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; 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: 8461-781129.",insurance grounded-qa fine-tuning instruction bilingual,stylized,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+8462,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8462-607816.",insurance grounded-qa fine-tuning instruction bilingual,clean,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+8463,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: data scientist; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8463-940374.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+8464,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8464-998708.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+8465,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: data scientist; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8465-503714.",insurance grounded-qa fine-tuning instruction bilingual,clean,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+8466,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8466-668650.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+8467,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8467-527161.",insurance grounded-qa fine-tuning instruction bilingual,clean,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+8468,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8468-786939.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+8469,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8469-500603.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+8470,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: data scientist; Task: benchmarking; Format: long-context; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8470-148094.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+8471,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8471-581908.",insurance grounded-qa fine-tuning instruction bilingual,detailed,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+8472,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8472-727008.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+8473,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8473-167627.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+8474,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8474-320617.",insurance grounded-qa fine-tuning instruction bilingual,stylized,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+8475,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8475-574056.",insurance grounded-qa fine-tuning instruction bilingual,clean,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+8476,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-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: 8476-236741.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+8477,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8477-829157.",insurance grounded-qa fine-tuning instruction bilingual,minimal,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+8478,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8478-656727.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+8479,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8479-192168.",insurance grounded-qa fine-tuning instruction bilingual,stylized,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+8480,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8480-217374.",insurance grounded-qa fine-tuning instruction bilingual,stylized,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+8481,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: data scientist; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8481-548210.",insurance grounded-qa fine-tuning instruction bilingual,clean,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+8482,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8482-960469.",insurance grounded-qa fine-tuning instruction bilingual,minimal,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+8483,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; 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: 8483-646057.",insurance grounded-qa fine-tuning instruction bilingual,clean,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+8484,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; 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: 8484-691253.",insurance grounded-qa fine-tuning instruction bilingual,stylized,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+8485,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8485-335359.",insurance grounded-qa fine-tuning instruction bilingual,detailed,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+8486,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; 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: 8486-440903.",insurance grounded-qa fine-tuning instruction bilingual,stylized,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+8487,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8487-390935.",insurance grounded-qa fine-tuning instruction bilingual,stylized,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+8488,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8488-461066.",insurance grounded-qa fine-tuning instruction bilingual,clean,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+8489,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ml engineer; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8489-479661.",insurance grounded-qa fine-tuning instruction bilingual,minimal,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+8490,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8490-795198.",insurance grounded-qa fine-tuning instruction bilingual,minimal,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+8491,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: data scientist; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8491-809808.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+8492,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; 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: 8492-120126.",insurance grounded-qa fine-tuning instruction bilingual,minimal,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+8493,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8493-546581.",insurance grounded-qa fine-tuning instruction bilingual,stylized,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+8494,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8494-748188.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+8495,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8495-662645.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+8496,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8496-850993.",insurance grounded-qa fine-tuning instruction bilingual,stylized,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+8497,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8497-814967.",insurance grounded-qa fine-tuning instruction bilingual,minimal,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+8498,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8498-828755.",insurance grounded-qa fine-tuning instruction bilingual,minimal,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+8499,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ml engineer; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8499-476284.",insurance grounded-qa fine-tuning instruction bilingual,stylized,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+8500,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; 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: 8500-425600.",insurance grounded-qa fine-tuning instruction bilingual,minimal,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+8501,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8501-237677.",insurance grounded-qa fine-tuning instruction bilingual,clean,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+8502,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; 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: 8502-468769.",insurance grounded-qa fine-tuning instruction bilingual,stylized,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+8503,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ml engineer; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8503-755938.",insurance grounded-qa fine-tuning instruction bilingual,detailed,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+8504,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; 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: 8504-812518.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+8505,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8505-855192.",insurance grounded-qa fine-tuning instruction bilingual,minimal,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+8506,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8506-112864.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+8507,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-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: 8507-380763.",insurance grounded-qa fine-tuning instruction bilingual,clean,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+8508,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8508-526194.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+8509,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: BILINGUAL; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8509-352016.",insurance grounded-qa fine-tuning instruction bilingual,detailed,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+8510,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8510-460103.",insurance grounded-qa fine-tuning instruction bilingual,detailed,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+8511,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; 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: 8511-675854.",insurance grounded-qa fine-tuning instruction bilingual,detailed,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+8512,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8512-644057.",insurance grounded-qa fine-tuning instruction bilingual,minimal,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+8513,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8513-964248.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+8514,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8514-995666.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+8515,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8515-190014.",insurance grounded-qa fine-tuning instruction bilingual,detailed,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+8516,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8516-974306.",insurance grounded-qa fine-tuning instruction bilingual,minimal,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+8517,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8517-673195.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+8518,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8518-541592.",insurance grounded-qa fine-tuning instruction bilingual,detailed,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+8519,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8519-891241.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+8520,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8520-405936.",insurance grounded-qa fine-tuning instruction bilingual,detailed,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+8521,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; 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: 8521-467336.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+8522,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8522-602654.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+8523,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; 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: 8523-745244.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+8524,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: BILINGUAL; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8524-887704.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+8525,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: BILINGUAL; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8525-458138.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+8526,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8526-328191.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+8527,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8527-573799.",insurance grounded-qa fine-tuning instruction bilingual,detailed,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+8528,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8528-604257.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+8529,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8529-470704.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+8530,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: BILINGUAL; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8530-179647.",insurance grounded-qa fine-tuning instruction bilingual,clean,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+8531,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: data scientist; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8531-869336.",insurance grounded-qa fine-tuning instruction bilingual,clean,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+8532,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8532-309412.",insurance grounded-qa fine-tuning instruction bilingual,detailed,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+8533,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8533-126250.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+8534,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8534-212068.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+8535,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8535-808746.",insurance grounded-qa fine-tuning instruction bilingual,clean,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+8536,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; 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: 8536-165663.",insurance grounded-qa fine-tuning instruction bilingual,clean,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+8537,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8537-627601.",insurance grounded-qa fine-tuning instruction bilingual,stylized,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+8538,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8538-528725.",insurance grounded-qa fine-tuning instruction bilingual,stylized,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+8539,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8539-856252.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+8540,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: BILINGUAL; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8540-710744.",insurance grounded-qa fine-tuning instruction bilingual,stylized,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+8541,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ai researcher; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8541-791331.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+8542,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; 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: 8542-654772.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+8543,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8543-287452.",insurance grounded-qa fine-tuning instruction bilingual,minimal,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+8544,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8544-491228.",insurance grounded-qa fine-tuning instruction bilingual,minimal,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+8545,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8545-426744.",insurance grounded-qa fine-tuning instruction bilingual,clean,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+8546,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8546-624370.",insurance grounded-qa fine-tuning instruction bilingual,stylized,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+8547,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8547-494278.",insurance grounded-qa fine-tuning instruction bilingual,detailed,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+8548,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8548-248343.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+8549,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; 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: 8549-603861.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+8550,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: data scientist; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8550-534271.",insurance grounded-qa fine-tuning instruction bilingual,clean,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+8551,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8551-392471.",insurance grounded-qa fine-tuning instruction bilingual,stylized,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+8552,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8552-556157.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+8553,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: data scientist; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8553-827709.",insurance grounded-qa fine-tuning instruction bilingual,detailed,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+8554,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8554-921100.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+8555,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8555-435213.",insurance grounded-qa fine-tuning instruction bilingual,detailed,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+8556,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: BILINGUAL; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8556-514514.",insurance grounded-qa fine-tuning instruction bilingual,detailed,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+8557,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: data scientist; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8557-794136.",insurance grounded-qa fine-tuning instruction bilingual,stylized,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+8558,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: data scientist; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8558-469938.",insurance grounded-qa fine-tuning instruction bilingual,clean,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+8559,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; 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: 8559-875847.",insurance grounded-qa fine-tuning instruction bilingual,stylized,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+8560,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8560-864850.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+8561,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8561-439050.",insurance grounded-qa fine-tuning instruction bilingual,stylized,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+8562,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; 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: 8562-106056.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+8563,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-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: 8563-985685.",insurance grounded-qa fine-tuning instruction bilingual,stylized,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+8564,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8564-976683.",insurance grounded-qa fine-tuning instruction bilingual,detailed,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+8565,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8565-112056.",insurance grounded-qa fine-tuning instruction bilingual,clean,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+8566,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8566-684551.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+8567,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8567-910911.",insurance grounded-qa fine-tuning instruction bilingual,clean,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+8568,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8568-525790.",insurance grounded-qa fine-tuning instruction bilingual,minimal,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+8569,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8569-989833.",insurance grounded-qa fine-tuning instruction bilingual,clean,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+8570,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8570-553905.",insurance grounded-qa fine-tuning instruction bilingual,clean,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+8571,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8571-556826.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+8572,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; 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: 8572-864536.",insurance grounded-qa fine-tuning instruction bilingual,minimal,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+8573,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: data scientist; Task: quality-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8573-857280.",insurance grounded-qa fine-tuning instruction bilingual,stylized,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+8574,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: data scientist; Task: quality-check; Format: long-context; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8574-729362.",insurance grounded-qa fine-tuning instruction bilingual,detailed,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+8575,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8575-726182.",insurance grounded-qa fine-tuning instruction bilingual,minimal,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+8576,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8576-986355.",insurance grounded-qa fine-tuning instruction bilingual,clean,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+8577,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8577-685268.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+8578,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-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: 8578-830624.",insurance grounded-qa fine-tuning instruction bilingual,clean,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+8579,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: BILINGUAL; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8579-152993.",insurance grounded-qa fine-tuning instruction bilingual,clean,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+8580,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8580-423396.",insurance grounded-qa fine-tuning instruction bilingual,minimal,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+8581,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8581-482467.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+8582,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: data scientist; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8582-799535.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+8583,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8583-171943.",insurance grounded-qa fine-tuning instruction bilingual,clean,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+8584,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-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: 8584-640964.",insurance grounded-qa fine-tuning instruction bilingual,minimal,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+8585,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8585-852775.",insurance grounded-qa fine-tuning instruction bilingual,stylized,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+8586,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8586-964733.",insurance grounded-qa fine-tuning instruction bilingual,detailed,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+8587,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8587-670908.",insurance grounded-qa fine-tuning instruction bilingual,clean,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+8588,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; 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: 8588-736009.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+8589,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; 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: 8589-352366.",insurance grounded-qa fine-tuning instruction bilingual,detailed,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+8590,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8590-164216.",insurance grounded-qa fine-tuning instruction bilingual,detailed,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+8591,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8591-402363.",insurance grounded-qa fine-tuning instruction bilingual,stylized,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+8592,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8592-468900.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+8593,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8593-132548.",insurance grounded-qa fine-tuning instruction bilingual,detailed,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+8594,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8594-916330.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+8595,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8595-322862.",insurance grounded-qa fine-tuning instruction bilingual,stylized,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+8596,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: data scientist; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8596-704163.",insurance grounded-qa fine-tuning instruction bilingual,clean,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+8597,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; 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: 8597-628522.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+8598,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8598-332790.",insurance grounded-qa fine-tuning instruction bilingual,stylized,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+8599,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-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: 8599-868790.",insurance grounded-qa fine-tuning instruction bilingual,stylized,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+8600,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ai researcher; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8600-457919.",insurance grounded-qa fine-tuning instruction bilingual,minimal,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+8601,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ml engineer; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8601-103260.",insurance grounded-qa fine-tuning instruction bilingual,stylized,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+8602,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; 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: 8602-220746.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+8603,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8603-354146.",insurance grounded-qa fine-tuning instruction bilingual,minimal,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+8604,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8604-163415.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+8605,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-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: 8605-859825.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+8606,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8606-523744.",insurance grounded-qa fine-tuning instruction bilingual,clean,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+8607,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8607-812198.",insurance grounded-qa fine-tuning instruction bilingual,detailed,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+8608,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8608-506957.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+8609,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8609-253752.",insurance grounded-qa fine-tuning instruction bilingual,stylized,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+8610,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8610-714575.",insurance grounded-qa fine-tuning instruction bilingual,stylized,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+8611,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8611-172290.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+8612,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8612-572255.",insurance grounded-qa fine-tuning instruction bilingual,detailed,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+8613,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8613-290041.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+8614,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; 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: 8614-396177.",insurance grounded-qa fine-tuning instruction bilingual,stylized,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+8615,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8615-598305.",insurance grounded-qa fine-tuning instruction bilingual,minimal,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+8616,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8616-950931.",insurance grounded-qa fine-tuning instruction bilingual,detailed,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+8617,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8617-674156.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+8618,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8618-766112.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+8619,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8619-151833.",insurance grounded-qa fine-tuning instruction bilingual,clean,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+8620,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: data scientist; Task: robustness-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8620-678798.",insurance grounded-qa fine-tuning instruction bilingual,minimal,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+8621,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-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: 8621-536483.",insurance grounded-qa fine-tuning instruction bilingual,detailed,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+8622,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; 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: 8622-776033.",insurance grounded-qa fine-tuning instruction bilingual,minimal,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+8623,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8623-721180.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+8624,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ai researcher; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8624-217514.",insurance grounded-qa fine-tuning instruction bilingual,detailed,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+8625,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-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: 8625-949279.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+8626,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8626-154282.",insurance grounded-qa fine-tuning instruction bilingual,minimal,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+8627,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8627-792717.",insurance grounded-qa fine-tuning instruction bilingual,minimal,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+8628,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: BILINGUAL; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8628-387081.",insurance grounded-qa fine-tuning instruction bilingual,stylized,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+8629,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8629-222369.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+8630,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; 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: 8630-753137.",insurance grounded-qa fine-tuning instruction bilingual,stylized,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+8631,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; 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: 8631-743733.",insurance grounded-qa fine-tuning instruction bilingual,detailed,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+8632,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-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: 8632-708756.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+8633,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8633-127204.",insurance grounded-qa fine-tuning instruction bilingual,detailed,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+8634,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: data scientist; Task: quality-check; Format: long-context; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8634-136685.",insurance grounded-qa fine-tuning instruction bilingual,minimal,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+8635,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8635-934922.",insurance grounded-qa fine-tuning instruction bilingual,stylized,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+8636,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; 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: 8636-965612.",insurance grounded-qa fine-tuning instruction bilingual,stylized,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+8637,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8637-970144.",insurance grounded-qa fine-tuning instruction bilingual,stylized,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+8638,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8638-911827.",insurance grounded-qa fine-tuning instruction bilingual,stylized,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+8639,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8639-322983.",insurance grounded-qa fine-tuning instruction bilingual,clean,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+8640,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8640-182384.",insurance grounded-qa fine-tuning instruction bilingual,detailed,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+8641,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8641-306328.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+8642,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8642-845675.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+8643,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: BILINGUAL; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8643-663032.",insurance grounded-qa fine-tuning instruction bilingual,minimal,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+8644,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8644-896230.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+8645,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; 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: 8645-514128.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+8646,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: BILINGUAL; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8646-100683.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+8647,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: platform engineer; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8647-579445.",insurance grounded-qa fine-tuning instruction bilingual,minimal,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+8648,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8648-384028.",insurance grounded-qa fine-tuning instruction bilingual,minimal,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+8649,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8649-433674.",insurance grounded-qa fine-tuning instruction bilingual,detailed,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+8650,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8650-770014.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+8651,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; 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: 8651-996944.",insurance grounded-qa fine-tuning instruction bilingual,detailed,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+8652,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8652-939788.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+8653,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8653-287378.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+8654,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; 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: 8654-328970.",insurance grounded-qa fine-tuning instruction bilingual,clean,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+8655,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8655-498675.",insurance grounded-qa fine-tuning instruction bilingual,stylized,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+8656,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8656-329155.",insurance grounded-qa fine-tuning instruction bilingual,minimal,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+8657,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8657-477785.",insurance grounded-qa fine-tuning instruction bilingual,detailed,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+8658,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: BILINGUAL; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8658-708996.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+8659,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; 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: 8659-908872.",insurance grounded-qa fine-tuning instruction bilingual,stylized,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+8660,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8660-436003.",insurance grounded-qa fine-tuning instruction bilingual,detailed,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+8661,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8661-564448.",insurance grounded-qa fine-tuning instruction bilingual,minimal,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+8662,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8662-730149.",insurance grounded-qa fine-tuning instruction bilingual,minimal,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+8663,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ai researcher; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8663-783713.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+8664,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8664-985077.",insurance grounded-qa fine-tuning instruction bilingual,detailed,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+8665,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8665-372294.",insurance grounded-qa fine-tuning instruction bilingual,minimal,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+8666,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: data scientist; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8666-865380.",insurance grounded-qa fine-tuning instruction bilingual,detailed,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+8667,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; 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: 8667-364593.",insurance grounded-qa fine-tuning instruction bilingual,stylized,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+8668,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8668-213255.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+8669,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8669-905297.",insurance grounded-qa fine-tuning instruction bilingual,detailed,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+8670,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8670-587060.",insurance grounded-qa fine-tuning instruction bilingual,stylized,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+8671,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ml engineer; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8671-738993.",insurance grounded-qa fine-tuning instruction bilingual,clean,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+8672,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8672-517419.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+8673,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: data scientist; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8673-846458.",insurance grounded-qa fine-tuning instruction bilingual,detailed,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+8674,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8674-727993.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+8675,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8675-779490.",insurance grounded-qa fine-tuning instruction bilingual,minimal,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+8676,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8676-704890.",insurance grounded-qa fine-tuning instruction bilingual,stylized,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+8677,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8677-922588.",insurance grounded-qa fine-tuning instruction bilingual,detailed,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+8678,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8678-921295.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+8679,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8679-881493.",insurance grounded-qa fine-tuning instruction bilingual,minimal,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+8680,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8680-574470.",insurance grounded-qa fine-tuning instruction bilingual,clean,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+8681,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-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: 8681-661686.",insurance grounded-qa fine-tuning instruction bilingual,clean,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+8682,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8682-456850.",insurance grounded-qa fine-tuning instruction bilingual,clean,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+8683,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8683-947542.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+8684,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; 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: 8684-137518.",insurance grounded-qa fine-tuning instruction bilingual,minimal,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+8685,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-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: 8685-227214.",insurance grounded-qa fine-tuning instruction bilingual,detailed,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+8686,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8686-501547.",insurance grounded-qa fine-tuning instruction bilingual,minimal,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+8687,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8687-841127.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+8688,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: BILINGUAL; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8688-582835.",insurance grounded-qa fine-tuning instruction bilingual,clean,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+8689,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; 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: 8689-751493.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+8690,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8690-752746.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+8691,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; 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: 8691-378988.",insurance grounded-qa fine-tuning instruction bilingual,stylized,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+8692,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8692-697483.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+8693,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8693-262601.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+8694,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8694-445564.",insurance grounded-qa fine-tuning instruction bilingual,clean,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+8695,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8695-120654.",insurance grounded-qa fine-tuning instruction bilingual,detailed,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+8696,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8696-733408.",insurance grounded-qa fine-tuning instruction bilingual,clean,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+8697,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8697-146316.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+8698,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: data scientist; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8698-798772.",insurance grounded-qa fine-tuning instruction bilingual,clean,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+8699,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ml engineer; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8699-432108.",insurance grounded-qa fine-tuning instruction bilingual,stylized,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+8700,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8700-860719.",insurance grounded-qa fine-tuning instruction bilingual,detailed,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+8701,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8701-823561.",insurance grounded-qa fine-tuning instruction bilingual,clean,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+8702,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8702-552284.",insurance grounded-qa fine-tuning instruction bilingual,clean,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+8703,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8703-237607.",insurance grounded-qa fine-tuning instruction bilingual,clean,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+8704,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8704-359649.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+8705,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; 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: 8705-132045.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+8706,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8706-851747.",insurance grounded-qa fine-tuning instruction bilingual,stylized,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+8707,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; 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: 8707-228074.",insurance grounded-qa fine-tuning instruction bilingual,detailed,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+8708,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ai researcher; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8708-429703.",insurance grounded-qa fine-tuning instruction bilingual,detailed,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+8709,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8709-222750.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+8710,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8710-187835.",insurance grounded-qa fine-tuning instruction bilingual,stylized,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+8711,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-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: 8711-729336.",insurance grounded-qa fine-tuning instruction bilingual,clean,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+8712,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: data scientist; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8712-355452.",insurance grounded-qa fine-tuning instruction bilingual,detailed,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+8713,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8713-896438.",insurance grounded-qa fine-tuning instruction bilingual,detailed,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+8714,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-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: 8714-571828.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+8715,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ml engineer; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8715-673681.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+8716,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; 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: 8716-448157.",insurance grounded-qa fine-tuning instruction bilingual,stylized,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+8717,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8717-827587.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+8718,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8718-134679.",insurance grounded-qa fine-tuning instruction bilingual,stylized,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+8719,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8719-800804.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+8720,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8720-352378.",insurance grounded-qa fine-tuning instruction bilingual,stylized,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+8721,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ai researcher; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8721-836075.",insurance grounded-qa fine-tuning instruction bilingual,stylized,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+8722,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8722-850162.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+8723,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8723-549662.",insurance grounded-qa fine-tuning instruction bilingual,minimal,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+8724,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8724-678179.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+8725,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8725-846176.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+8726,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; 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: 8726-667937.",insurance grounded-qa fine-tuning instruction bilingual,stylized,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+8727,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-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: 8727-564663.",insurance grounded-qa fine-tuning instruction bilingual,minimal,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+8728,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ml engineer; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8728-199940.",insurance grounded-qa fine-tuning instruction bilingual,detailed,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+8729,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: BILINGUAL; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8729-533526.",insurance grounded-qa fine-tuning instruction bilingual,minimal,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+8730,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: data scientist; Task: robustness-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8730-892982.",insurance grounded-qa fine-tuning instruction bilingual,minimal,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+8731,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8731-862203.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+8732,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: data scientist; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8732-162629.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+8733,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8733-765764.",insurance grounded-qa fine-tuning instruction bilingual,detailed,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+8734,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8734-364816.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+8735,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: data scientist; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8735-685106.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+8736,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8736-371253.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+8737,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-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: 8737-201413.",insurance grounded-qa fine-tuning instruction bilingual,clean,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+8738,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8738-943083.",insurance grounded-qa fine-tuning instruction bilingual,stylized,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+8739,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8739-381761.",insurance grounded-qa fine-tuning instruction bilingual,stylized,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+8740,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8740-293426.",insurance grounded-qa fine-tuning instruction bilingual,stylized,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+8741,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; 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: 8741-296021.",insurance grounded-qa fine-tuning instruction bilingual,minimal,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+8742,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8742-329504.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+8743,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8743-832922.",insurance grounded-qa fine-tuning instruction bilingual,clean,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+8744,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8744-625263.",insurance grounded-qa fine-tuning instruction bilingual,stylized,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+8745,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8745-691108.",insurance grounded-qa fine-tuning instruction bilingual,detailed,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+8746,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8746-555534.",insurance grounded-qa fine-tuning instruction bilingual,detailed,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+8747,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8747-804011.",insurance grounded-qa fine-tuning instruction bilingual,detailed,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+8748,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; 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: 8748-939044.",insurance grounded-qa fine-tuning instruction bilingual,detailed,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+8749,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8749-693291.",insurance grounded-qa fine-tuning instruction bilingual,clean,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+8750,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8750-819557.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+8751,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8751-690340.",insurance grounded-qa fine-tuning instruction bilingual,clean,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+8752,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; 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: 8752-730465.",insurance grounded-qa fine-tuning instruction bilingual,clean,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+8753,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-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: 8753-145617.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+8754,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: data scientist; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8754-160533.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+8755,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8755-509261.",insurance grounded-qa fine-tuning instruction bilingual,stylized,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+8756,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8756-214033.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+8757,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8757-459698.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+8758,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: data scientist; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8758-361360.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+8759,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; 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: 8759-614179.",insurance grounded-qa fine-tuning instruction bilingual,clean,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+8760,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8760-457275.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+8761,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8761-870925.",insurance grounded-qa fine-tuning instruction bilingual,stylized,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+8762,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; 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: 8762-716280.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+8763,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8763-488972.",insurance grounded-qa fine-tuning instruction bilingual,stylized,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+8764,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8764-600198.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+8765,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8765-639493.",insurance grounded-qa fine-tuning instruction bilingual,stylized,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+8766,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: data scientist; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8766-871951.",insurance grounded-qa fine-tuning instruction bilingual,stylized,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+8767,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: data scientist; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8767-922283.",insurance grounded-qa fine-tuning instruction bilingual,minimal,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+8768,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-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: 8768-966297.",insurance grounded-qa fine-tuning instruction bilingual,minimal,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+8769,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8769-904414.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+8770,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8770-575812.",insurance grounded-qa fine-tuning instruction bilingual,detailed,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+8771,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8771-773794.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+8772,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8772-961502.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+8773,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8773-778537.",insurance grounded-qa fine-tuning instruction bilingual,detailed,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+8774,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; 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: 8774-579782.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+8775,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: platform engineer; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8775-105538.",insurance grounded-qa fine-tuning instruction bilingual,detailed,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+8776,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8776-499208.",insurance grounded-qa fine-tuning instruction bilingual,minimal,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+8777,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8777-483642.",insurance grounded-qa fine-tuning instruction bilingual,minimal,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+8778,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: BILINGUAL; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8778-863900.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+8779,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8779-558184.",insurance grounded-qa fine-tuning instruction bilingual,clean,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+8780,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; 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: 8780-343433.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+8781,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8781-747922.",insurance grounded-qa fine-tuning instruction bilingual,detailed,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+8782,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-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: 8782-744387.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+8783,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8783-723413.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+8784,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8784-322752.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+8785,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8785-947446.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+8786,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8786-993067.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+8787,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: data scientist; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8787-886509.",insurance grounded-qa fine-tuning instruction bilingual,minimal,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+8788,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8788-632183.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+8789,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-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: 8789-739662.",insurance grounded-qa fine-tuning instruction bilingual,detailed,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+8790,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8790-451303.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+8791,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8791-765168.",insurance grounded-qa fine-tuning instruction bilingual,detailed,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+8792,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8792-707067.",insurance grounded-qa fine-tuning instruction bilingual,minimal,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+8793,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8793-832546.",insurance grounded-qa fine-tuning instruction bilingual,detailed,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+8794,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8794-510707.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+8795,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-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: 8795-803936.",insurance grounded-qa fine-tuning instruction bilingual,detailed,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+8796,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8796-899118.",insurance grounded-qa fine-tuning instruction bilingual,detailed,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+8797,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8797-875664.",insurance grounded-qa fine-tuning instruction bilingual,stylized,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+8798,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: platform engineer; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8798-119046.",insurance grounded-qa fine-tuning instruction bilingual,stylized,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+8799,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: data scientist; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8799-365568.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+8800,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: BILINGUAL; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8800-335403.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+8801,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8801-992066.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+8802,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8802-363605.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+8803,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8803-631161.",insurance grounded-qa fine-tuning instruction bilingual,clean,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+8804,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8804-756501.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+8805,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8805-484027.",insurance grounded-qa fine-tuning instruction bilingual,stylized,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+8806,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8806-177681.",insurance grounded-qa fine-tuning instruction bilingual,minimal,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+8807,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; 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: 8807-796911.",insurance grounded-qa fine-tuning instruction bilingual,detailed,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+8808,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8808-343856.",insurance grounded-qa fine-tuning instruction bilingual,minimal,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+8809,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; 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: 8809-278473.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+8810,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; 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: 8810-786666.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+8811,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; 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: 8811-389489.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+8812,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: BILINGUAL; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8812-965852.",insurance grounded-qa fine-tuning instruction bilingual,detailed,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+8813,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8813-946973.",insurance grounded-qa fine-tuning instruction bilingual,stylized,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+8814,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8814-105782.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+8815,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8815-686223.",insurance grounded-qa fine-tuning instruction bilingual,detailed,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+8816,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; 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: 8816-370232.",insurance grounded-qa fine-tuning instruction bilingual,stylized,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+8817,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8817-893897.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+8818,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8818-753352.",insurance grounded-qa fine-tuning instruction bilingual,stylized,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+8819,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-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: 8819-733661.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+8820,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; 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: 8820-606838.",insurance grounded-qa fine-tuning instruction bilingual,minimal,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+8821,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8821-846238.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+8822,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; 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: 8822-264845.",insurance grounded-qa fine-tuning instruction bilingual,detailed,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+8823,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: BILINGUAL; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8823-487651.",insurance grounded-qa fine-tuning instruction bilingual,detailed,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+8824,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: BILINGUAL; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8824-619130.",insurance grounded-qa fine-tuning instruction bilingual,clean,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+8825,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8825-322045.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+8826,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8826-434981.",insurance grounded-qa fine-tuning instruction bilingual,clean,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+8827,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-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: 8827-421297.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+8828,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8828-557419.",insurance grounded-qa fine-tuning instruction bilingual,stylized,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+8829,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ml engineer; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8829-730760.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+8830,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8830-843872.",insurance grounded-qa fine-tuning instruction bilingual,minimal,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+8831,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-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: 8831-667137.",insurance grounded-qa fine-tuning instruction bilingual,clean,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+8832,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: platform engineer; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8832-359071.",insurance grounded-qa fine-tuning instruction bilingual,clean,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+8833,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8833-810090.",insurance grounded-qa fine-tuning instruction bilingual,stylized,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+8834,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; 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: 8834-865447.",insurance grounded-qa fine-tuning instruction bilingual,clean,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+8835,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8835-932271.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+8836,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8836-158525.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+8837,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8837-903287.",insurance grounded-qa fine-tuning instruction bilingual,stylized,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+8838,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: BILINGUAL; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8838-624476.",insurance grounded-qa fine-tuning instruction bilingual,clean,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+8839,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8839-248465.",insurance grounded-qa fine-tuning instruction bilingual,clean,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+8840,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8840-255987.",insurance grounded-qa fine-tuning instruction bilingual,minimal,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+8841,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; 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: 8841-231811.",insurance grounded-qa fine-tuning instruction bilingual,clean,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+8842,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8842-524127.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+8843,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8843-195162.",insurance grounded-qa fine-tuning instruction bilingual,minimal,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+8844,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8844-159624.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+8845,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8845-500183.",insurance grounded-qa fine-tuning instruction bilingual,detailed,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+8846,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; 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: 8846-527424.",insurance grounded-qa fine-tuning instruction bilingual,stylized,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+8847,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8847-718143.",insurance grounded-qa fine-tuning instruction bilingual,detailed,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+8848,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-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: 8848-695529.",insurance grounded-qa fine-tuning instruction bilingual,stylized,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+8849,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8849-807177.",insurance grounded-qa fine-tuning instruction bilingual,clean,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+8850,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8850-646269.",insurance grounded-qa fine-tuning instruction bilingual,minimal,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+8851,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8851-579608.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+8852,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: data scientist; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8852-252788.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+8853,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8853-610358.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+8854,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8854-888939.",insurance grounded-qa fine-tuning instruction bilingual,detailed,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+8855,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8855-932503.",insurance grounded-qa fine-tuning instruction bilingual,clean,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+8856,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8856-893370.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+8857,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8857-455047.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+8858,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; 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: 8858-303579.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+8859,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8859-256294.",insurance grounded-qa fine-tuning instruction bilingual,detailed,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+8860,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: BILINGUAL; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8860-667138.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+8861,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-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: 8861-922792.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+8862,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8862-620378.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+8863,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8863-392563.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+8864,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8864-810660.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+8865,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8865-366919.",insurance grounded-qa fine-tuning instruction bilingual,detailed,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+8866,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8866-119634.",insurance grounded-qa fine-tuning instruction bilingual,detailed,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+8867,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8867-967568.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+8868,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8868-566425.",insurance grounded-qa fine-tuning instruction bilingual,minimal,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+8869,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-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: 8869-617717.",insurance grounded-qa fine-tuning instruction bilingual,detailed,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+8870,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8870-868444.",insurance grounded-qa fine-tuning instruction bilingual,stylized,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+8871,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8871-466816.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+8872,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8872-498520.",insurance grounded-qa fine-tuning instruction bilingual,detailed,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+8873,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8873-678506.",insurance grounded-qa fine-tuning instruction bilingual,clean,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+8874,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8874-906522.",insurance grounded-qa fine-tuning instruction bilingual,minimal,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+8875,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8875-952494.",insurance grounded-qa fine-tuning instruction bilingual,stylized,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+8876,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; 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: 8876-676181.",insurance grounded-qa fine-tuning instruction bilingual,detailed,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+8877,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8877-704587.",insurance grounded-qa fine-tuning instruction bilingual,detailed,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+8878,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ml engineer; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8878-615931.",insurance grounded-qa fine-tuning instruction bilingual,clean,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+8879,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: platform engineer; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8879-799218.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+8880,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8880-317970.",insurance grounded-qa fine-tuning instruction bilingual,clean,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+8881,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8881-759693.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+8882,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8882-211378.",insurance grounded-qa fine-tuning instruction bilingual,detailed,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+8883,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-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: 8883-715039.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+8884,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: platform engineer; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8884-729425.",insurance grounded-qa fine-tuning instruction bilingual,stylized,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+8885,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; 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: 8885-924164.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+8886,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8886-969769.",insurance grounded-qa fine-tuning instruction bilingual,stylized,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+8887,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: data scientist; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8887-552658.",insurance grounded-qa fine-tuning instruction bilingual,stylized,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+8888,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8888-976180.",insurance grounded-qa fine-tuning instruction bilingual,stylized,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+8889,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8889-660826.",insurance grounded-qa fine-tuning instruction bilingual,stylized,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+8890,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8890-488932.",insurance grounded-qa fine-tuning instruction bilingual,stylized,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+8891,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: data scientist; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8891-693952.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+8892,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; 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: 8892-198490.",insurance grounded-qa fine-tuning instruction bilingual,stylized,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+8893,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8893-346237.",insurance grounded-qa fine-tuning instruction bilingual,clean,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+8894,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8894-125904.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+8895,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-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: 8895-599827.",insurance grounded-qa fine-tuning instruction bilingual,detailed,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+8896,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8896-592844.",insurance grounded-qa fine-tuning instruction bilingual,clean,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+8897,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; 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: 8897-462789.",insurance grounded-qa fine-tuning instruction bilingual,detailed,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+8898,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8898-247502.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+8899,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; 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: 8899-199222.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+8900,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8900-571181.",insurance grounded-qa fine-tuning instruction bilingual,clean,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+8901,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-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: 8901-438429.",insurance grounded-qa fine-tuning instruction bilingual,clean,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+8902,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8902-862032.",insurance grounded-qa fine-tuning instruction bilingual,stylized,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+8903,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-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: 8903-403673.",insurance grounded-qa fine-tuning instruction bilingual,stylized,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+8904,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8904-950914.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+8905,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8905-604376.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+8906,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8906-636475.",insurance grounded-qa fine-tuning instruction bilingual,minimal,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+8907,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8907-887342.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+8908,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8908-852786.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+8909,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8909-813585.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+8910,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8910-525389.",insurance grounded-qa fine-tuning instruction bilingual,clean,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+8911,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-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: 8911-290881.",insurance grounded-qa fine-tuning instruction bilingual,detailed,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+8912,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8912-346658.",insurance grounded-qa fine-tuning instruction bilingual,minimal,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+8913,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8913-653721.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+8914,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8914-806297.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+8915,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8915-800653.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+8916,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8916-426766.",insurance grounded-qa fine-tuning instruction bilingual,detailed,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+8917,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8917-102548.",insurance grounded-qa fine-tuning instruction bilingual,minimal,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+8918,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8918-700119.",insurance grounded-qa fine-tuning instruction bilingual,detailed,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+8919,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8919-571168.",insurance grounded-qa fine-tuning instruction bilingual,detailed,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+8920,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8920-696468.",insurance grounded-qa fine-tuning instruction bilingual,detailed,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+8921,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8921-658993.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+8922,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8922-164893.",insurance grounded-qa fine-tuning instruction bilingual,clean,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+8923,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8923-725857.",insurance grounded-qa fine-tuning instruction bilingual,stylized,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+8924,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8924-830506.",insurance grounded-qa fine-tuning instruction bilingual,detailed,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+8925,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8925-339134.",insurance grounded-qa fine-tuning instruction bilingual,minimal,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+8926,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; 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: 8926-870218.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+8927,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; 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: 8927-147954.",insurance grounded-qa fine-tuning instruction bilingual,clean,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+8928,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: BILINGUAL; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8928-666900.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+8929,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8929-129551.",insurance grounded-qa fine-tuning instruction bilingual,stylized,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+8930,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; 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: 8930-983925.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+8931,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8931-444976.",insurance grounded-qa fine-tuning instruction bilingual,clean,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+8932,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8932-745529.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+8933,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8933-550655.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+8934,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8934-104938.",insurance grounded-qa fine-tuning instruction bilingual,detailed,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+8935,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8935-553700.",insurance grounded-qa fine-tuning instruction bilingual,stylized,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+8936,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8936-137213.",insurance grounded-qa fine-tuning instruction bilingual,stylized,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+8937,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8937-603547.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+8938,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8938-790783.",insurance grounded-qa fine-tuning instruction bilingual,clean,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+8939,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8939-844703.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+8940,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8940-191535.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+8941,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; 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: 8941-600952.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+8942,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8942-392365.",insurance grounded-qa fine-tuning instruction bilingual,stylized,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+8943,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8943-487135.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+8944,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8944-866827.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+8945,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8945-238145.",insurance grounded-qa fine-tuning instruction bilingual,minimal,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+8946,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8946-385981.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+8947,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8947-781156.",insurance grounded-qa fine-tuning instruction bilingual,detailed,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+8948,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8948-994233.",insurance grounded-qa fine-tuning instruction bilingual,detailed,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+8949,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8949-815008.",insurance grounded-qa fine-tuning instruction bilingual,detailed,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+8950,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8950-747272.",insurance grounded-qa fine-tuning instruction bilingual,detailed,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+8951,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8951-139179.",insurance grounded-qa fine-tuning instruction bilingual,clean,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+8952,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-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: 8952-866066.",insurance grounded-qa fine-tuning instruction bilingual,clean,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+8953,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8953-389566.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+8954,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: platform engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8954-344370.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+8955,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-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: 8955-763276.",insurance grounded-qa fine-tuning instruction bilingual,stylized,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+8956,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8956-687755.",insurance grounded-qa fine-tuning instruction bilingual,minimal,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+8957,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8957-710703.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+8958,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8958-915929.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+8959,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8959-678231.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+8960,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8960-939689.",insurance grounded-qa fine-tuning instruction bilingual,minimal,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+8961,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8961-935740.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+8962,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-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: 8962-344750.",insurance grounded-qa fine-tuning instruction bilingual,detailed,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+8963,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8963-920690.",insurance grounded-qa fine-tuning instruction bilingual,minimal,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+8964,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; 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: 8964-819046.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+8965,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ml engineer; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8965-318007.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+8966,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8966-342215.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+8967,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8967-273885.",insurance grounded-qa fine-tuning instruction bilingual,clean,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+8968,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; 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: 8968-736027.",insurance grounded-qa fine-tuning instruction bilingual,detailed,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+8969,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8969-881543.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+8970,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8970-129366.",insurance grounded-qa fine-tuning instruction bilingual,stylized,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+8971,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: BILINGUAL; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8971-171537.",insurance grounded-qa fine-tuning instruction bilingual,minimal,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+8972,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; 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: 8972-949178.",insurance grounded-qa fine-tuning instruction bilingual,minimal,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+8973,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: data scientist; Task: quality-check; Format: long-context; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8973-251968.",insurance grounded-qa fine-tuning instruction bilingual,stylized,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+8974,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: data scientist; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8974-972509.",insurance grounded-qa fine-tuning instruction bilingual,detailed,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+8975,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8975-339899.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+8976,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8976-852822.",insurance grounded-qa fine-tuning instruction bilingual,detailed,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+8977,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: BILINGUAL; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8977-353403.",insurance grounded-qa fine-tuning instruction bilingual,minimal,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+8978,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8978-923564.",insurance grounded-qa fine-tuning instruction bilingual,stylized,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+8979,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8979-418740.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+8980,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8980-487042.",insurance grounded-qa fine-tuning instruction bilingual,detailed,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+8981,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8981-420479.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+8982,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8982-875789.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+8983,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8983-390003.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+8984,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8984-745240.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+8985,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8985-958627.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+8986,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8986-660538.",insurance grounded-qa fine-tuning instruction bilingual,detailed,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+8987,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-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: 8987-337924.",insurance grounded-qa fine-tuning instruction bilingual,stylized,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+8988,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8988-424101.",insurance grounded-qa fine-tuning instruction bilingual,detailed,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+8989,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8989-848685.",insurance grounded-qa fine-tuning instruction bilingual,stylized,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+8990,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8990-455648.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+8991,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8991-391861.",insurance grounded-qa fine-tuning instruction bilingual,clean,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+8992,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8992-383008.",insurance grounded-qa fine-tuning instruction bilingual,stylized,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+8993,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-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: 8993-372458.",insurance grounded-qa fine-tuning instruction bilingual,stylized,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+8994,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8994-809349.",insurance grounded-qa fine-tuning instruction bilingual,minimal,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+8995,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: data scientist; Task: robustness-check; Format: long-context; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8995-969206.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+8996,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8996-645117.",insurance grounded-qa fine-tuning instruction bilingual,stylized,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+8997,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: platform engineer; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8997-402092.",insurance grounded-qa fine-tuning instruction bilingual,clean,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+8998,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; 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: 8998-277693.",insurance grounded-qa fine-tuning instruction bilingual,clean,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+8999,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ai researcher; Task: quality-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8999-291415.",insurance grounded-qa fine-tuning instruction bilingual,clean,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+9000,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-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: 9000-664596.",insurance grounded-qa fine-tuning instruction bilingual,detailed,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+9001,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ai researcher; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9001-670287.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+9002,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9002-996147.",insurance grounded-qa fine-tuning instruction bilingual,clean,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+9003,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9003-412201.",insurance grounded-qa fine-tuning instruction bilingual,stylized,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+9004,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: data scientist; Task: benchmarking; Format: long-context; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9004-764698.",insurance grounded-qa fine-tuning instruction bilingual,clean,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+9005,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; 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: 9005-569381.",insurance grounded-qa fine-tuning instruction bilingual,stylized,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+9006,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9006-469215.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+9007,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9007-113080.",insurance grounded-qa fine-tuning instruction bilingual,minimal,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+9008,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9008-166031.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+9009,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9009-575728.",insurance grounded-qa fine-tuning instruction bilingual,detailed,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+9010,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; 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: 9010-158360.",insurance grounded-qa fine-tuning instruction bilingual,detailed,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+9011,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9011-608442.",insurance grounded-qa fine-tuning instruction bilingual,detailed,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+9012,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-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: 9012-361771.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+9013,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9013-606751.",insurance grounded-qa fine-tuning instruction bilingual,minimal,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+9014,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-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: 9014-986098.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+9015,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9015-668831.",insurance grounded-qa fine-tuning instruction bilingual,detailed,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+9016,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9016-805094.",insurance grounded-qa fine-tuning instruction bilingual,clean,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+9017,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: platform engineer; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9017-349664.",insurance grounded-qa fine-tuning instruction bilingual,stylized,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+9018,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9018-530949.",insurance grounded-qa fine-tuning instruction bilingual,stylized,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+9019,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9019-625365.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+9020,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9020-362784.",insurance grounded-qa fine-tuning instruction bilingual,stylized,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+9021,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ml engineer; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9021-502487.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+9022,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9022-472077.",insurance grounded-qa fine-tuning instruction bilingual,stylized,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+9023,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; 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: 9023-577944.",insurance grounded-qa fine-tuning instruction bilingual,detailed,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+9024,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: BILINGUAL; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9024-981299.",insurance grounded-qa fine-tuning instruction bilingual,stylized,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+9025,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9025-621050.",insurance grounded-qa fine-tuning instruction bilingual,detailed,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+9026,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9026-680948.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+9027,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9027-319832.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+9028,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9028-758088.",insurance grounded-qa fine-tuning instruction bilingual,minimal,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+9029,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ml engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9029-533741.",insurance grounded-qa fine-tuning instruction bilingual,detailed,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+9030,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9030-187936.",insurance grounded-qa fine-tuning instruction bilingual,minimal,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+9031,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: data scientist; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9031-866941.",insurance grounded-qa fine-tuning instruction bilingual,minimal,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+9032,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9032-979235.",insurance grounded-qa fine-tuning instruction bilingual,detailed,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+9033,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; 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: 9033-632151.",insurance grounded-qa fine-tuning instruction bilingual,clean,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+9034,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9034-256281.",insurance grounded-qa fine-tuning instruction bilingual,detailed,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+9035,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9035-706719.",insurance grounded-qa fine-tuning instruction bilingual,clean,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+9036,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9036-653795.",insurance grounded-qa fine-tuning instruction bilingual,stylized,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+9037,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9037-525825.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+9038,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9038-903295.",insurance grounded-qa fine-tuning instruction bilingual,detailed,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+9039,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; 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: 9039-982267.",insurance grounded-qa fine-tuning instruction bilingual,stylized,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+9040,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9040-457326.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+9041,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: BILINGUAL; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9041-747335.",insurance grounded-qa fine-tuning instruction bilingual,minimal,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+9042,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9042-144832.",insurance grounded-qa fine-tuning instruction bilingual,clean,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+9043,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9043-740176.",insurance grounded-qa fine-tuning instruction bilingual,detailed,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+9044,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: data scientist; Task: robustness-check; Format: long-context; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9044-518465.",insurance grounded-qa fine-tuning instruction bilingual,clean,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+9045,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9045-896528.",insurance grounded-qa fine-tuning instruction bilingual,clean,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+9046,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9046-941651.",insurance grounded-qa fine-tuning instruction bilingual,detailed,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+9047,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9047-591353.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+9048,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; 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: 9048-496352.",insurance grounded-qa fine-tuning instruction bilingual,minimal,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+9049,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9049-693332.",insurance grounded-qa fine-tuning instruction bilingual,minimal,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+9050,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9050-108185.",insurance grounded-qa fine-tuning instruction bilingual,stylized,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+9051,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9051-892727.",insurance grounded-qa fine-tuning instruction bilingual,clean,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+9052,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-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: 9052-739528.",insurance grounded-qa fine-tuning instruction bilingual,minimal,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+9053,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9053-748694.",insurance grounded-qa fine-tuning instruction bilingual,detailed,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+9054,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9054-517509.",insurance grounded-qa fine-tuning instruction bilingual,detailed,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+9055,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9055-354541.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+9056,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; 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: 9056-821298.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+9057,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9057-325935.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+9058,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9058-438513.",insurance grounded-qa fine-tuning instruction bilingual,minimal,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+9059,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9059-935385.",insurance grounded-qa fine-tuning instruction bilingual,detailed,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+9060,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9060-469321.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+9061,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9061-693204.",insurance grounded-qa fine-tuning instruction bilingual,stylized,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+9062,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9062-907651.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+9063,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9063-478029.",insurance grounded-qa fine-tuning instruction bilingual,clean,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+9064,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9064-158817.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+9065,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; 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: 9065-704440.",insurance grounded-qa fine-tuning instruction bilingual,clean,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+9066,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: BILINGUAL; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9066-349638.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+9067,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9067-365141.",insurance grounded-qa fine-tuning instruction bilingual,clean,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+9068,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9068-712662.",insurance grounded-qa fine-tuning instruction bilingual,clean,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+9069,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ai researcher; Task: quality-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9069-614370.",insurance grounded-qa fine-tuning instruction bilingual,minimal,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+9070,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9070-347692.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+9071,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9071-626026.",insurance grounded-qa fine-tuning instruction bilingual,stylized,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+9072,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9072-600896.",insurance grounded-qa fine-tuning instruction bilingual,clean,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+9073,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9073-748076.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+9074,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9074-899125.",insurance grounded-qa fine-tuning instruction bilingual,minimal,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+9075,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9075-227537.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+9076,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: BILINGUAL; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9076-902307.",insurance grounded-qa fine-tuning instruction bilingual,detailed,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+9077,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9077-996759.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+9078,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9078-360917.",insurance grounded-qa fine-tuning instruction bilingual,stylized,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+9079,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: BILINGUAL; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9079-360952.",insurance grounded-qa fine-tuning instruction bilingual,stylized,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+9080,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9080-170756.",insurance grounded-qa fine-tuning instruction bilingual,minimal,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+9081,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9081-154204.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+9082,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: BILINGUAL; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9082-112263.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+9083,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-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: 9083-743503.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+9084,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9084-298207.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+9085,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9085-286298.",insurance grounded-qa fine-tuning instruction bilingual,stylized,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+9086,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9086-248996.",insurance grounded-qa fine-tuning instruction bilingual,detailed,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+9087,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: data scientist; Task: grounding-check; Format: long-context; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9087-234754.",insurance grounded-qa fine-tuning instruction bilingual,detailed,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+9088,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9088-144404.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+9089,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-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: 9089-830336.",insurance grounded-qa fine-tuning instruction bilingual,minimal,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+9090,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9090-642967.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+9091,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9091-952384.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+9092,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9092-751904.",insurance grounded-qa fine-tuning instruction bilingual,minimal,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+9093,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9093-950016.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+9094,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ml engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9094-663814.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+9095,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9095-473475.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+9096,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: data scientist; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9096-896455.",insurance grounded-qa fine-tuning instruction bilingual,stylized,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+9097,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9097-648386.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+9098,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; 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: 9098-951412.",insurance grounded-qa fine-tuning instruction bilingual,stylized,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+9099,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ai researcher; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9099-827339.",insurance grounded-qa fine-tuning instruction bilingual,minimal,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+9100,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9100-315085.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+9101,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ml engineer; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9101-736321.",insurance grounded-qa fine-tuning instruction bilingual,detailed,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+9102,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9102-333597.",insurance grounded-qa fine-tuning instruction bilingual,minimal,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+9103,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9103-476759.",insurance grounded-qa fine-tuning instruction bilingual,minimal,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+9104,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9104-290934.",insurance grounded-qa fine-tuning instruction bilingual,clean,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+9105,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: data scientist; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9105-790687.",insurance grounded-qa fine-tuning instruction bilingual,stylized,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+9106,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: data scientist; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9106-908183.",insurance grounded-qa fine-tuning instruction bilingual,stylized,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+9107,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9107-215186.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+9108,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9108-473925.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+9109,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ml engineer; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9109-638041.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+9110,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9110-944024.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+9111,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9111-208283.",insurance grounded-qa fine-tuning instruction bilingual,minimal,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+9112,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; 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: 9112-209693.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+9113,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; 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: 9113-907321.",insurance grounded-qa fine-tuning instruction bilingual,stylized,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+9114,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: data scientist; Task: robustness-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9114-879661.",insurance grounded-qa fine-tuning instruction bilingual,detailed,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+9115,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; 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: 9115-295949.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+9116,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9116-206505.",insurance grounded-qa fine-tuning instruction bilingual,detailed,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+9117,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; 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: 9117-150520.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+9118,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-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: 9118-932386.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+9119,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9119-858998.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+9120,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9120-630486.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+9121,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9121-118641.",insurance grounded-qa fine-tuning instruction bilingual,minimal,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+9122,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: data scientist; Task: benchmarking; Format: long-context; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9122-316680.",insurance grounded-qa fine-tuning instruction bilingual,stylized,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+9123,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9123-638593.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+9124,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; 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: 9124-280306.",insurance grounded-qa fine-tuning instruction bilingual,minimal,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+9125,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9125-159339.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+9126,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9126-736017.",insurance grounded-qa fine-tuning instruction bilingual,stylized,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+9127,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: BILINGUAL; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9127-131139.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+9128,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9128-502828.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+9129,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: data scientist; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9129-541751.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+9130,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9130-964877.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+9131,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; 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: 9131-678884.",insurance grounded-qa fine-tuning instruction bilingual,minimal,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+9132,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; 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: 9132-540154.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+9133,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9133-855635.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+9134,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: data scientist; Task: grounding-check; Format: long-context; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9134-261653.",insurance grounded-qa fine-tuning instruction bilingual,minimal,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+9135,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9135-459851.",insurance grounded-qa fine-tuning instruction bilingual,minimal,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+9136,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9136-998714.",insurance grounded-qa fine-tuning instruction bilingual,clean,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+9137,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ai researcher; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9137-582338.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+9138,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; 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: 9138-915985.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+9139,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; 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: 9139-457566.",insurance grounded-qa fine-tuning instruction bilingual,clean,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+9140,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9140-984135.",insurance grounded-qa fine-tuning instruction bilingual,clean,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+9141,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9141-288027.",insurance grounded-qa fine-tuning instruction bilingual,minimal,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+9142,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9142-943462.",insurance grounded-qa fine-tuning instruction bilingual,stylized,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+9143,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9143-421476.",insurance grounded-qa fine-tuning instruction bilingual,detailed,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+9144,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: BILINGUAL; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9144-526741.",insurance grounded-qa fine-tuning instruction bilingual,detailed,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+9145,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9145-667806.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+9146,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9146-416639.",insurance grounded-qa fine-tuning instruction bilingual,clean,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+9147,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9147-659596.",insurance grounded-qa fine-tuning instruction bilingual,minimal,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+9148,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9148-694846.",insurance grounded-qa fine-tuning instruction bilingual,detailed,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+9149,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: data scientist; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9149-105954.",insurance grounded-qa fine-tuning instruction bilingual,clean,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+9150,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: BILINGUAL; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9150-476909.",insurance grounded-qa fine-tuning instruction bilingual,detailed,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+9151,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9151-864140.",insurance grounded-qa fine-tuning instruction bilingual,stylized,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+9152,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9152-740276.",insurance grounded-qa fine-tuning instruction bilingual,minimal,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+9153,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9153-687709.",insurance grounded-qa fine-tuning instruction bilingual,minimal,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+9154,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-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: 9154-818926.",insurance grounded-qa fine-tuning instruction bilingual,minimal,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+9155,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-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: 9155-452634.",insurance grounded-qa fine-tuning instruction bilingual,stylized,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+9156,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ai researcher; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9156-413014.",insurance grounded-qa fine-tuning instruction bilingual,clean,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+9157,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9157-100927.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+9158,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9158-223428.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+9159,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ai researcher; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9159-371210.",insurance grounded-qa fine-tuning instruction bilingual,stylized,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+9160,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9160-462172.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+9161,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9161-890671.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+9162,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9162-836937.",insurance grounded-qa fine-tuning instruction bilingual,minimal,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+9163,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9163-620756.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+9164,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9164-877308.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+9165,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9165-375674.",insurance grounded-qa fine-tuning instruction bilingual,clean,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+9166,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-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: 9166-845070.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+9167,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9167-435083.",insurance grounded-qa fine-tuning instruction bilingual,minimal,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+9168,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9168-539220.",insurance grounded-qa fine-tuning instruction bilingual,clean,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+9169,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9169-431091.",insurance grounded-qa fine-tuning instruction bilingual,detailed,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+9170,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9170-877072.",insurance grounded-qa fine-tuning instruction bilingual,detailed,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+9171,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9171-133530.",insurance grounded-qa fine-tuning instruction bilingual,minimal,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+9172,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: data scientist; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9172-628432.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+9173,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: data scientist; Task: grounding-check; Format: long-context; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9173-652903.",insurance grounded-qa fine-tuning instruction bilingual,stylized,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+9174,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9174-650076.",insurance grounded-qa fine-tuning instruction bilingual,stylized,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+9175,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ai researcher; Task: quality-check; Format: long-context; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9175-740885.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+9176,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: BILINGUAL; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9176-359116.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+9177,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9177-239222.",insurance grounded-qa fine-tuning instruction bilingual,stylized,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+9178,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9178-633981.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+9179,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9179-822826.",insurance grounded-qa fine-tuning instruction bilingual,stylized,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+9180,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9180-604967.",insurance grounded-qa fine-tuning instruction bilingual,clean,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+9181,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9181-156405.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+9182,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: data scientist; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9182-311841.",insurance grounded-qa fine-tuning instruction bilingual,stylized,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+9183,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9183-991294.",insurance grounded-qa fine-tuning instruction bilingual,detailed,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+9184,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9184-733875.",insurance grounded-qa fine-tuning instruction bilingual,minimal,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+9185,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9185-769152.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+9186,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: BILINGUAL; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9186-113871.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+9187,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ml engineer; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9187-370820.",insurance grounded-qa fine-tuning instruction bilingual,clean,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+9188,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; 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: 9188-589034.",insurance grounded-qa fine-tuning instruction bilingual,stylized,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+9189,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9189-477707.",insurance grounded-qa fine-tuning instruction bilingual,detailed,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+9190,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9190-271173.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+9191,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9191-214036.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+9192,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9192-384060.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+9193,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: BILINGUAL; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9193-863755.",insurance grounded-qa fine-tuning instruction bilingual,stylized,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+9194,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9194-552691.",insurance grounded-qa fine-tuning instruction bilingual,clean,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+9195,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9195-414519.",insurance grounded-qa fine-tuning instruction bilingual,clean,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+9196,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9196-992721.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+9197,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9197-142450.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+9198,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-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: 9198-520372.",insurance grounded-qa fine-tuning instruction bilingual,minimal,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+9199,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; 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: 9199-201909.",insurance grounded-qa fine-tuning instruction bilingual,minimal,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+9200,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9200-252457.",insurance grounded-qa fine-tuning instruction bilingual,clean,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+9201,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9201-547108.",insurance grounded-qa fine-tuning instruction bilingual,clean,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+9202,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; 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: 9202-247781.",insurance grounded-qa fine-tuning instruction bilingual,stylized,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+9203,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9203-409636.",insurance grounded-qa fine-tuning instruction bilingual,stylized,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+9204,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9204-243796.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+9205,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9205-185521.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+9206,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9206-589133.",insurance grounded-qa fine-tuning instruction bilingual,clean,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+9207,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9207-426708.",insurance grounded-qa fine-tuning instruction bilingual,clean,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+9208,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; 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: 9208-285925.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+9209,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9209-517137.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+9210,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; 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: 9210-888081.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+9211,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9211-364438.",insurance grounded-qa fine-tuning instruction bilingual,stylized,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+9212,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9212-568844.",insurance grounded-qa fine-tuning instruction bilingual,minimal,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+9213,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: data scientist; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9213-253053.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+9214,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9214-722401.",insurance grounded-qa fine-tuning instruction bilingual,minimal,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+9215,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9215-272179.",insurance grounded-qa fine-tuning instruction bilingual,clean,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+9216,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: data scientist; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9216-508931.",insurance grounded-qa fine-tuning instruction bilingual,clean,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+9217,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9217-627151.",insurance grounded-qa fine-tuning instruction bilingual,minimal,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+9218,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9218-771565.",insurance grounded-qa fine-tuning instruction bilingual,stylized,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+9219,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9219-251635.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+9220,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9220-217248.",insurance grounded-qa fine-tuning instruction bilingual,clean,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+9221,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9221-267018.",insurance grounded-qa fine-tuning instruction bilingual,stylized,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+9222,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9222-342539.",insurance grounded-qa fine-tuning instruction bilingual,minimal,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+9223,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9223-455483.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+9224,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; 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: 9224-874360.",insurance grounded-qa fine-tuning instruction bilingual,detailed,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+9225,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9225-875167.",insurance grounded-qa fine-tuning instruction bilingual,stylized,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+9226,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9226-573265.",insurance grounded-qa fine-tuning instruction bilingual,minimal,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+9227,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9227-266904.",insurance grounded-qa fine-tuning instruction bilingual,detailed,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+9228,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9228-403572.",insurance grounded-qa fine-tuning instruction bilingual,minimal,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+9229,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-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: 9229-181762.",insurance grounded-qa fine-tuning instruction bilingual,stylized,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+9230,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9230-971918.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+9231,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: BILINGUAL; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9231-284626.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+9232,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9232-817627.",insurance grounded-qa fine-tuning instruction bilingual,detailed,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+9233,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; 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: 9233-644873.",insurance grounded-qa fine-tuning instruction bilingual,minimal,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+9234,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9234-661402.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+9235,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: data scientist; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9235-667589.",insurance grounded-qa fine-tuning instruction bilingual,stylized,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+9236,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9236-190746.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+9237,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; 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: 9237-719254.",insurance grounded-qa fine-tuning instruction bilingual,clean,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+9238,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9238-715606.",insurance grounded-qa fine-tuning instruction bilingual,clean,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+9239,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9239-735949.",insurance grounded-qa fine-tuning instruction bilingual,clean,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+9240,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9240-648574.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+9241,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9241-337418.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+9242,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9242-425323.",insurance grounded-qa fine-tuning instruction bilingual,stylized,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+9243,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; 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: 9243-759347.",insurance grounded-qa fine-tuning instruction bilingual,minimal,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+9244,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ml engineer; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9244-142571.",insurance grounded-qa fine-tuning instruction bilingual,minimal,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+9245,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: BILINGUAL; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9245-286427.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+9246,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9246-440501.",insurance grounded-qa fine-tuning instruction bilingual,detailed,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+9247,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: data scientist; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9247-729699.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+9248,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9248-217264.",insurance grounded-qa fine-tuning instruction bilingual,clean,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+9249,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9249-883730.",insurance grounded-qa fine-tuning instruction bilingual,stylized,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+9250,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: data scientist; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9250-173385.",insurance grounded-qa fine-tuning instruction bilingual,clean,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+9251,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9251-140263.",insurance grounded-qa fine-tuning instruction bilingual,stylized,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+9252,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9252-318212.",insurance grounded-qa fine-tuning instruction bilingual,stylized,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+9253,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9253-823839.",insurance grounded-qa fine-tuning instruction bilingual,clean,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+9254,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9254-503046.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+9255,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: data scientist; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9255-164566.",insurance grounded-qa fine-tuning instruction bilingual,minimal,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+9256,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9256-404322.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+9257,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9257-595866.",insurance grounded-qa fine-tuning instruction bilingual,minimal,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+9258,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; 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: 9258-531642.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+9259,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9259-884955.",insurance grounded-qa fine-tuning instruction bilingual,stylized,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+9260,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9260-481211.",insurance grounded-qa fine-tuning instruction bilingual,minimal,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+9261,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9261-359988.",insurance grounded-qa fine-tuning instruction bilingual,clean,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+9262,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9262-182911.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+9263,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9263-471001.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+9264,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9264-512767.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+9265,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ai researcher; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9265-569044.",insurance grounded-qa fine-tuning instruction bilingual,detailed,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+9266,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; 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: 9266-318364.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+9267,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: data scientist; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9267-582181.",insurance grounded-qa fine-tuning instruction bilingual,clean,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+9268,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9268-729020.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+9269,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: BILINGUAL; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9269-770958.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+9270,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9270-868340.",insurance grounded-qa fine-tuning instruction bilingual,minimal,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+9271,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9271-274921.",insurance grounded-qa fine-tuning instruction bilingual,stylized,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+9272,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9272-954038.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+9273,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ml engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9273-519579.",insurance grounded-qa fine-tuning instruction bilingual,minimal,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+9274,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9274-917785.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+9275,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9275-604833.",insurance grounded-qa fine-tuning instruction bilingual,minimal,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+9276,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9276-859446.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+9277,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9277-892750.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+9278,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9278-383923.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+9279,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9279-110021.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+9280,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ai researcher; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9280-146194.",insurance grounded-qa fine-tuning instruction bilingual,stylized,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+9281,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9281-824383.",insurance grounded-qa fine-tuning instruction bilingual,detailed,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+9282,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; 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: 9282-514192.",insurance grounded-qa fine-tuning instruction bilingual,minimal,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+9283,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9283-786841.",insurance grounded-qa fine-tuning instruction bilingual,stylized,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+9284,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9284-817182.",insurance grounded-qa fine-tuning instruction bilingual,minimal,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+9285,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-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: 9285-995563.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+9286,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: data scientist; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9286-728550.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+9287,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9287-372708.",insurance grounded-qa fine-tuning instruction bilingual,clean,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+9288,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: BILINGUAL; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9288-473563.",insurance grounded-qa fine-tuning instruction bilingual,clean,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+9289,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9289-707303.",insurance grounded-qa fine-tuning instruction bilingual,stylized,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+9290,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9290-604440.",insurance grounded-qa fine-tuning instruction bilingual,minimal,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+9291,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9291-457332.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+9292,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-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: 9292-474951.",insurance grounded-qa fine-tuning instruction bilingual,clean,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+9293,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9293-564452.",insurance grounded-qa fine-tuning instruction bilingual,minimal,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+9294,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9294-495298.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+9295,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9295-864969.",insurance grounded-qa fine-tuning instruction bilingual,stylized,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+9296,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: BILINGUAL; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9296-753435.",insurance grounded-qa fine-tuning instruction bilingual,minimal,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+9297,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: data scientist; Task: benchmarking; Format: long-context; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9297-361220.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+9298,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9298-867710.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+9299,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9299-865905.",insurance grounded-qa fine-tuning instruction bilingual,stylized,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+9300,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; 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: 9300-408939.",insurance grounded-qa fine-tuning instruction bilingual,stylized,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+9301,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: platform engineer; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9301-331734.",insurance grounded-qa fine-tuning instruction bilingual,clean,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+9302,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9302-608268.",insurance grounded-qa fine-tuning instruction bilingual,minimal,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+9303,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9303-375274.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+9304,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9304-282384.",insurance grounded-qa fine-tuning instruction bilingual,stylized,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+9305,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: platform engineer; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9305-521141.",insurance grounded-qa fine-tuning instruction bilingual,minimal,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+9306,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9306-190464.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+9307,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9307-949207.",insurance grounded-qa fine-tuning instruction bilingual,stylized,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+9308,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9308-813989.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+9309,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9309-824357.",insurance grounded-qa fine-tuning instruction bilingual,stylized,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+9310,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9310-804657.",insurance grounded-qa fine-tuning instruction bilingual,detailed,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+9311,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9311-961528.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+9312,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9312-855609.",insurance grounded-qa fine-tuning instruction bilingual,minimal,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+9313,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-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: 9313-433524.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+9314,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9314-849631.",insurance grounded-qa fine-tuning instruction bilingual,minimal,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+9315,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; 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: 9315-558906.",insurance grounded-qa fine-tuning instruction bilingual,clean,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+9316,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9316-296812.",insurance grounded-qa fine-tuning instruction bilingual,clean,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+9317,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: data scientist; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9317-567061.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+9318,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ai researcher; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9318-970994.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+9319,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9319-328414.",insurance grounded-qa fine-tuning instruction bilingual,minimal,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+9320,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: data scientist; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9320-238867.",insurance grounded-qa fine-tuning instruction bilingual,detailed,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+9321,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9321-487525.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+9322,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; 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: 9322-774508.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+9323,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9323-565504.",insurance grounded-qa fine-tuning instruction bilingual,minimal,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+9324,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-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: 9324-437400.",insurance grounded-qa fine-tuning instruction bilingual,clean,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+9325,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9325-943823.",insurance grounded-qa fine-tuning instruction bilingual,minimal,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+9326,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: data scientist; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9326-350827.",insurance grounded-qa fine-tuning instruction bilingual,minimal,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+9327,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9327-926869.",insurance grounded-qa fine-tuning instruction bilingual,detailed,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+9328,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9328-548839.",insurance grounded-qa fine-tuning instruction bilingual,detailed,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+9329,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: BILINGUAL; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9329-814388.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+9330,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9330-958751.",insurance grounded-qa fine-tuning instruction bilingual,clean,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+9331,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9331-163150.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+9332,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9332-244921.",insurance grounded-qa fine-tuning instruction bilingual,minimal,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+9333,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9333-915387.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+9334,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: platform engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9334-843304.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+9335,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9335-879492.",insurance grounded-qa fine-tuning instruction bilingual,stylized,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+9336,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9336-527725.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+9337,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9337-894643.",insurance grounded-qa fine-tuning instruction bilingual,clean,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+9338,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; 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: 9338-324943.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+9339,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-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: 9339-746369.",insurance grounded-qa fine-tuning instruction bilingual,minimal,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+9340,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9340-624421.",insurance grounded-qa fine-tuning instruction bilingual,minimal,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+9341,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9341-225175.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+9342,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; 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: 9342-740146.",insurance grounded-qa fine-tuning instruction bilingual,minimal,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+9343,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; 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: 9343-199978.",insurance grounded-qa fine-tuning instruction bilingual,minimal,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+9344,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9344-519971.",insurance grounded-qa fine-tuning instruction bilingual,minimal,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+9345,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9345-197639.",insurance grounded-qa fine-tuning instruction bilingual,detailed,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+9346,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9346-187755.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+9347,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; 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: 9347-316665.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+9348,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9348-315571.",insurance grounded-qa fine-tuning instruction bilingual,stylized,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+9349,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ai researcher; Task: quality-check; Format: long-context; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9349-280176.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+9350,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-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: 9350-472921.",insurance grounded-qa fine-tuning instruction bilingual,stylized,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+9351,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9351-301839.",insurance grounded-qa fine-tuning instruction bilingual,detailed,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+9352,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: data scientist; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9352-153927.",insurance grounded-qa fine-tuning instruction bilingual,clean,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+9353,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9353-526651.",insurance grounded-qa fine-tuning instruction bilingual,clean,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+9354,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9354-211994.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+9355,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9355-666496.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+9356,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9356-142405.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+9357,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9357-928453.",insurance grounded-qa fine-tuning instruction bilingual,clean,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+9358,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; 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: 9358-630168.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+9359,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9359-867383.",insurance grounded-qa fine-tuning instruction bilingual,detailed,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+9360,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9360-790819.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+9361,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9361-840282.",insurance grounded-qa fine-tuning instruction bilingual,clean,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+9362,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9362-761254.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+9363,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9363-626367.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+9364,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; 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: 9364-929779.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+9365,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9365-595376.",insurance grounded-qa fine-tuning instruction bilingual,minimal,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+9366,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-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: 9366-574775.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+9367,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9367-922218.",insurance grounded-qa fine-tuning instruction bilingual,minimal,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+9368,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; 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: 9368-402564.",insurance grounded-qa fine-tuning instruction bilingual,detailed,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+9369,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9369-625893.",insurance grounded-qa fine-tuning instruction bilingual,stylized,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+9370,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: data scientist; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9370-722506.",insurance grounded-qa fine-tuning instruction bilingual,stylized,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+9371,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9371-327243.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+9372,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9372-213254.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+9373,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9373-661980.",insurance grounded-qa fine-tuning instruction bilingual,detailed,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+9374,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9374-382381.",insurance grounded-qa fine-tuning instruction bilingual,stylized,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+9375,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: BILINGUAL; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9375-460574.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+9376,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: BILINGUAL; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9376-270471.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+9377,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; 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: 9377-543757.",insurance grounded-qa fine-tuning instruction bilingual,clean,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+9378,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ai researcher; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9378-854204.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+9379,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9379-160831.",insurance grounded-qa fine-tuning instruction bilingual,minimal,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+9380,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9380-708511.",insurance grounded-qa fine-tuning instruction bilingual,minimal,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+9381,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9381-784991.",insurance grounded-qa fine-tuning instruction bilingual,clean,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+9382,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9382-467630.",insurance grounded-qa fine-tuning instruction bilingual,minimal,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+9383,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; 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: 9383-487869.",insurance grounded-qa fine-tuning instruction bilingual,detailed,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+9384,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ai researcher; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9384-840807.",insurance grounded-qa fine-tuning instruction bilingual,clean,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+9385,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9385-983161.",insurance grounded-qa fine-tuning instruction bilingual,minimal,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+9386,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9386-215129.",insurance grounded-qa fine-tuning instruction bilingual,detailed,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+9387,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9387-422247.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+9388,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9388-293421.",insurance grounded-qa fine-tuning instruction bilingual,stylized,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+9389,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: platform engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9389-251188.",insurance grounded-qa fine-tuning instruction bilingual,minimal,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+9390,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; 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: 9390-938521.",insurance grounded-qa fine-tuning instruction bilingual,stylized,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+9391,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9391-982876.",insurance grounded-qa fine-tuning instruction bilingual,detailed,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+9392,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9392-242755.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+9393,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9393-706836.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+9394,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: data scientist; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9394-478951.",insurance grounded-qa fine-tuning instruction bilingual,detailed,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+9395,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9395-856853.",insurance grounded-qa fine-tuning instruction bilingual,minimal,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+9396,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: BILINGUAL; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9396-826326.",insurance grounded-qa fine-tuning instruction bilingual,clean,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+9397,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-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: 9397-311222.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+9398,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9398-348421.",insurance grounded-qa fine-tuning instruction bilingual,minimal,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+9399,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9399-394434.",insurance grounded-qa fine-tuning instruction bilingual,clean,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+9400,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9400-373694.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+9401,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ml engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9401-286460.",insurance grounded-qa fine-tuning instruction bilingual,stylized,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+9402,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: platform engineer; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9402-142723.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+9403,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: BILINGUAL; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9403-534294.",insurance grounded-qa fine-tuning instruction bilingual,minimal,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+9404,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9404-290835.",insurance grounded-qa fine-tuning instruction bilingual,stylized,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+9405,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: data scientist; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9405-649552.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+9406,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9406-372007.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+9407,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-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: 9407-314837.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+9408,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; 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: 9408-818825.",insurance grounded-qa fine-tuning instruction bilingual,clean,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+9409,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: data scientist; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9409-928194.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+9410,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9410-335008.",insurance grounded-qa fine-tuning instruction bilingual,minimal,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+9411,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9411-998186.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+9412,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9412-487339.",insurance grounded-qa fine-tuning instruction bilingual,detailed,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+9413,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9413-419919.",insurance grounded-qa fine-tuning instruction bilingual,clean,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+9414,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9414-280284.",insurance grounded-qa fine-tuning instruction bilingual,minimal,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+9415,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9415-156409.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+9416,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9416-696094.",insurance grounded-qa fine-tuning instruction bilingual,minimal,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+9417,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9417-861438.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+9418,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9418-292079.",insurance grounded-qa fine-tuning instruction bilingual,stylized,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+9419,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-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: 9419-555912.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+9420,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9420-422664.",insurance grounded-qa fine-tuning instruction bilingual,minimal,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+9421,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: BILINGUAL; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9421-756057.",insurance grounded-qa fine-tuning instruction bilingual,detailed,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+9422,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9422-171089.",insurance grounded-qa fine-tuning instruction bilingual,clean,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+9423,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; 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: 9423-434495.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+9424,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-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: 9424-897544.",insurance grounded-qa fine-tuning instruction bilingual,detailed,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+9425,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9425-274922.",insurance grounded-qa fine-tuning instruction bilingual,detailed,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+9426,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: data scientist; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9426-895375.",insurance grounded-qa fine-tuning instruction bilingual,minimal,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+9427,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; 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: 9427-247058.",insurance grounded-qa fine-tuning instruction bilingual,stylized,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+9428,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; 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: 9428-572119.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+9429,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9429-694904.",insurance grounded-qa fine-tuning instruction bilingual,minimal,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+9430,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: data scientist; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9430-754373.",insurance grounded-qa fine-tuning instruction bilingual,stylized,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+9431,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; 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: 9431-697577.",insurance grounded-qa fine-tuning instruction bilingual,clean,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+9432,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ml engineer; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9432-499829.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+9433,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-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: 9433-434059.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+9434,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9434-174705.",insurance grounded-qa fine-tuning instruction bilingual,stylized,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+9435,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; 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: 9435-684607.",insurance grounded-qa fine-tuning instruction bilingual,stylized,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+9436,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9436-862554.",insurance grounded-qa fine-tuning instruction bilingual,clean,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+9437,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9437-378156.",insurance grounded-qa fine-tuning instruction bilingual,stylized,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+9438,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9438-615780.",insurance grounded-qa fine-tuning instruction bilingual,stylized,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+9439,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9439-942165.",insurance grounded-qa fine-tuning instruction bilingual,detailed,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+9440,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; 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: 9440-446317.",insurance grounded-qa fine-tuning instruction bilingual,clean,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+9441,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9441-656575.",insurance grounded-qa fine-tuning instruction bilingual,detailed,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+9442,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: data scientist; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9442-617943.",insurance grounded-qa fine-tuning instruction bilingual,detailed,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+9443,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9443-740276.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+9444,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; 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: 9444-801454.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+9445,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-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: 9445-637220.",insurance grounded-qa fine-tuning instruction bilingual,clean,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+9446,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9446-498799.",insurance grounded-qa fine-tuning instruction bilingual,clean,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+9447,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9447-790860.",insurance grounded-qa fine-tuning instruction bilingual,clean,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+9448,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9448-196582.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+9449,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9449-771838.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+9450,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9450-980756.",insurance grounded-qa fine-tuning instruction bilingual,clean,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+9451,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9451-481133.",insurance grounded-qa fine-tuning instruction bilingual,clean,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+9452,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9452-851193.",insurance grounded-qa fine-tuning instruction bilingual,stylized,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+9453,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: BILINGUAL; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9453-906275.",insurance grounded-qa fine-tuning instruction bilingual,clean,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+9454,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9454-645347.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+9455,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9455-329338.",insurance grounded-qa fine-tuning instruction bilingual,stylized,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+9456,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9456-356239.",insurance grounded-qa fine-tuning instruction bilingual,clean,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+9457,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9457-530684.",insurance grounded-qa fine-tuning instruction bilingual,stylized,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+9458,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: data scientist; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9458-936653.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+9459,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9459-622441.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+9460,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9460-808521.",insurance grounded-qa fine-tuning instruction bilingual,stylized,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+9461,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; 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: 9461-211147.",insurance grounded-qa fine-tuning instruction bilingual,clean,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+9462,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; 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: 9462-764110.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+9463,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9463-222074.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+9464,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9464-460795.",insurance grounded-qa fine-tuning instruction bilingual,stylized,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+9465,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9465-972267.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+9466,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; 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: 9466-779240.",insurance grounded-qa fine-tuning instruction bilingual,minimal,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+9467,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9467-405064.",insurance grounded-qa fine-tuning instruction bilingual,stylized,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+9468,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9468-440201.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+9469,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: BILINGUAL; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9469-957447.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+9470,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: data scientist; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9470-545927.",insurance grounded-qa fine-tuning instruction bilingual,detailed,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+9471,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; 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: 9471-581713.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+9472,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; 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: 9472-692074.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+9473,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9473-218153.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+9474,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9474-538135.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+9475,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9475-937771.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+9476,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: data scientist; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9476-544221.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+9477,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ai researcher; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9477-797997.",insurance grounded-qa fine-tuning instruction bilingual,detailed,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+9478,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9478-538698.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+9479,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: data scientist; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9479-147043.",insurance grounded-qa fine-tuning instruction bilingual,clean,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+9480,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9480-108291.",insurance grounded-qa fine-tuning instruction bilingual,minimal,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+9481,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: BILINGUAL; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9481-562350.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+9482,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; 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: 9482-663290.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+9483,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9483-748720.",insurance grounded-qa fine-tuning instruction bilingual,clean,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+9484,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9484-582015.",insurance grounded-qa fine-tuning instruction bilingual,detailed,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+9485,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: data scientist; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9485-413508.",insurance grounded-qa fine-tuning instruction bilingual,stylized,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+9486,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-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: 9486-209813.",insurance grounded-qa fine-tuning instruction bilingual,clean,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+9487,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9487-501336.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+9488,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: data scientist; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9488-663714.",insurance grounded-qa fine-tuning instruction bilingual,detailed,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+9489,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9489-427353.",insurance grounded-qa fine-tuning instruction bilingual,stylized,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+9490,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-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: 9490-178792.",insurance grounded-qa fine-tuning instruction bilingual,clean,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+9491,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9491-957800.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+9492,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9492-962243.",insurance grounded-qa fine-tuning instruction bilingual,minimal,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+9493,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9493-761276.",insurance grounded-qa fine-tuning instruction bilingual,stylized,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+9494,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9494-823391.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+9495,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9495-400721.",insurance grounded-qa fine-tuning instruction bilingual,minimal,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+9496,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: BILINGUAL; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9496-521318.",insurance grounded-qa fine-tuning instruction bilingual,stylized,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+9497,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9497-812967.",insurance grounded-qa fine-tuning instruction bilingual,clean,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+9498,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9498-397741.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+9499,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9499-418060.",insurance grounded-qa fine-tuning instruction bilingual,stylized,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+9500,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9500-518426.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+9501,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9501-880910.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+9502,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; 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: 9502-917565.",insurance grounded-qa fine-tuning instruction bilingual,clean,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+9503,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9503-537466.",insurance grounded-qa fine-tuning instruction bilingual,stylized,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+9504,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9504-695952.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+9505,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9505-210868.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+9506,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ml engineer; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9506-963199.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+9507,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: platform engineer; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9507-646441.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+9508,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; 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: 9508-815746.",insurance grounded-qa fine-tuning instruction bilingual,minimal,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+9509,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9509-305970.",insurance grounded-qa fine-tuning instruction bilingual,minimal,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+9510,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9510-407684.",insurance grounded-qa fine-tuning instruction bilingual,detailed,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+9511,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9511-303650.",insurance grounded-qa fine-tuning instruction bilingual,clean,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+9512,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; 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: 9512-379322.",insurance grounded-qa fine-tuning instruction bilingual,clean,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+9513,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9513-411421.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+9514,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-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: 9514-854043.",insurance grounded-qa fine-tuning instruction bilingual,stylized,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+9515,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ml engineer; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9515-201078.",insurance grounded-qa fine-tuning instruction bilingual,detailed,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+9516,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9516-607001.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+9517,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: BILINGUAL; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9517-280203.",insurance grounded-qa fine-tuning instruction bilingual,stylized,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+9518,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9518-750338.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+9519,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9519-714009.",insurance grounded-qa fine-tuning instruction bilingual,stylized,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+9520,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9520-423117.",insurance grounded-qa fine-tuning instruction bilingual,clean,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+9521,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ml engineer; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9521-380849.",insurance grounded-qa fine-tuning instruction bilingual,stylized,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+9522,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ai researcher; Task: quality-check; Format: long-context; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9522-383533.",insurance grounded-qa fine-tuning instruction bilingual,minimal,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+9523,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9523-449075.",insurance grounded-qa fine-tuning instruction bilingual,stylized,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+9524,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9524-126541.",insurance grounded-qa fine-tuning instruction bilingual,clean,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+9525,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; 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: 9525-695219.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+9526,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: BILINGUAL; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9526-889010.",insurance grounded-qa fine-tuning instruction bilingual,minimal,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+9527,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9527-957940.",insurance grounded-qa fine-tuning instruction bilingual,detailed,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+9528,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9528-346384.",insurance grounded-qa fine-tuning instruction bilingual,stylized,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+9529,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9529-476045.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+9530,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9530-305829.",insurance grounded-qa fine-tuning instruction bilingual,stylized,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+9531,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9531-868444.",insurance grounded-qa fine-tuning instruction bilingual,clean,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+9532,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: data scientist; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9532-525304.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+9533,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9533-824386.",insurance grounded-qa fine-tuning instruction bilingual,stylized,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+9534,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9534-839296.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+9535,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; 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: 9535-823445.",insurance grounded-qa fine-tuning instruction bilingual,detailed,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+9536,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9536-660403.",insurance grounded-qa fine-tuning instruction bilingual,clean,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+9537,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9537-176126.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+9538,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9538-273010.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+9539,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9539-757173.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+9540,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9540-150953.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+9541,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: BILINGUAL; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9541-629596.",insurance grounded-qa fine-tuning instruction bilingual,clean,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+9542,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9542-892590.",insurance grounded-qa fine-tuning instruction bilingual,clean,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+9543,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9543-516164.",insurance grounded-qa fine-tuning instruction bilingual,stylized,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+9544,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9544-774413.",insurance grounded-qa fine-tuning instruction bilingual,stylized,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+9545,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9545-500756.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+9546,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9546-494432.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+9547,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: platform engineer; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9547-764652.",insurance grounded-qa fine-tuning instruction bilingual,clean,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+9548,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9548-482961.",insurance grounded-qa fine-tuning instruction bilingual,minimal,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+9549,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9549-524824.",insurance grounded-qa fine-tuning instruction bilingual,minimal,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+9550,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9550-472342.",insurance grounded-qa fine-tuning instruction bilingual,minimal,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+9551,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-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: 9551-752250.",insurance grounded-qa fine-tuning instruction bilingual,clean,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+9552,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ai researcher; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9552-449894.",insurance grounded-qa fine-tuning instruction bilingual,detailed,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+9553,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: BILINGUAL; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9553-506876.",insurance grounded-qa fine-tuning instruction bilingual,detailed,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+9554,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: BILINGUAL; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9554-904736.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+9555,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; 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: 9555-870887.",insurance grounded-qa fine-tuning instruction bilingual,stylized,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+9556,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9556-126701.",insurance grounded-qa fine-tuning instruction bilingual,detailed,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+9557,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9557-400705.",insurance grounded-qa fine-tuning instruction bilingual,stylized,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+9558,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9558-382008.",insurance grounded-qa fine-tuning instruction bilingual,stylized,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+9559,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; 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: 9559-695883.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+9560,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9560-150616.",insurance grounded-qa fine-tuning instruction bilingual,detailed,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+9561,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9561-440925.",insurance grounded-qa fine-tuning instruction bilingual,detailed,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+9562,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: BILINGUAL; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9562-265331.",insurance grounded-qa fine-tuning instruction bilingual,clean,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+9563,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9563-642391.",insurance grounded-qa fine-tuning instruction bilingual,detailed,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+9564,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9564-272554.",insurance grounded-qa fine-tuning instruction bilingual,minimal,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+9565,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9565-109196.",insurance grounded-qa fine-tuning instruction bilingual,minimal,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+9566,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9566-327307.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+9567,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: BILINGUAL; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9567-790352.",insurance grounded-qa fine-tuning instruction bilingual,minimal,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+9568,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-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: 9568-581391.",insurance grounded-qa fine-tuning instruction bilingual,stylized,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+9569,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9569-359973.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+9570,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9570-493356.",insurance grounded-qa fine-tuning instruction bilingual,stylized,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+9571,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9571-910347.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+9572,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9572-825776.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+9573,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9573-935842.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+9574,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9574-698153.",insurance grounded-qa fine-tuning instruction bilingual,detailed,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+9575,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9575-279050.",insurance grounded-qa fine-tuning instruction bilingual,stylized,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+9576,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9576-926622.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+9577,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9577-808520.",insurance grounded-qa fine-tuning instruction bilingual,detailed,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+9578,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: BILINGUAL; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9578-562434.",insurance grounded-qa fine-tuning instruction bilingual,detailed,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+9579,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9579-629583.",insurance grounded-qa fine-tuning instruction bilingual,stylized,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+9580,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9580-345882.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+9581,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9581-821308.",insurance grounded-qa fine-tuning instruction bilingual,detailed,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+9582,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9582-460060.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+9583,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ai researcher; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9583-803993.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+9584,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9584-860930.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+9585,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9585-379053.",insurance grounded-qa fine-tuning instruction bilingual,detailed,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+9586,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9586-720170.",insurance grounded-qa fine-tuning instruction bilingual,detailed,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+9587,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9587-345374.",insurance grounded-qa fine-tuning instruction bilingual,stylized,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+9588,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9588-476347.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+9589,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9589-249884.",insurance grounded-qa fine-tuning instruction bilingual,stylized,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+9590,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9590-225623.",insurance grounded-qa fine-tuning instruction bilingual,clean,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+9591,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9591-763878.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+9592,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9592-485471.",insurance grounded-qa fine-tuning instruction bilingual,stylized,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+9593,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-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: 9593-306065.",insurance grounded-qa fine-tuning instruction bilingual,clean,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+9594,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9594-673003.",insurance grounded-qa fine-tuning instruction bilingual,minimal,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+9595,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9595-436848.",insurance grounded-qa fine-tuning instruction bilingual,clean,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+9596,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; 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: 9596-723811.",insurance grounded-qa fine-tuning instruction bilingual,minimal,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+9597,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9597-405236.",insurance grounded-qa fine-tuning instruction bilingual,detailed,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+9598,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-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: 9598-262537.",insurance grounded-qa fine-tuning instruction bilingual,clean,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+9599,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9599-802840.",insurance grounded-qa fine-tuning instruction bilingual,stylized,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+9600,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; 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: 9600-925123.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+9601,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9601-335932.",insurance grounded-qa fine-tuning instruction bilingual,minimal,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+9602,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: data scientist; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9602-918024.",insurance grounded-qa fine-tuning instruction bilingual,stylized,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+9603,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9603-987513.",insurance grounded-qa fine-tuning instruction bilingual,minimal,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+9604,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; 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: 9604-882730.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+9605,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9605-709119.",insurance grounded-qa fine-tuning instruction bilingual,detailed,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+9606,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9606-411438.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+9607,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9607-348453.",insurance grounded-qa fine-tuning instruction bilingual,detailed,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+9608,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; 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: 9608-214555.",insurance grounded-qa fine-tuning instruction bilingual,clean,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+9609,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9609-781643.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+9610,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: data scientist; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9610-848833.",insurance grounded-qa fine-tuning instruction bilingual,stylized,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+9611,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9611-561649.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+9612,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9612-813439.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+9613,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9613-555075.",insurance grounded-qa fine-tuning instruction bilingual,minimal,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+9614,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: platform engineer; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9614-480588.",insurance grounded-qa fine-tuning instruction bilingual,stylized,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+9615,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9615-369622.",insurance grounded-qa fine-tuning instruction bilingual,stylized,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+9616,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9616-598002.",insurance grounded-qa fine-tuning instruction bilingual,clean,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+9617,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: data scientist; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9617-942330.",insurance grounded-qa fine-tuning instruction bilingual,detailed,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+9618,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9618-732001.",insurance grounded-qa fine-tuning instruction bilingual,detailed,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+9619,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9619-786241.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+9620,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-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: 9620-784965.",insurance grounded-qa fine-tuning instruction bilingual,detailed,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+9621,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9621-316638.",insurance grounded-qa fine-tuning instruction bilingual,detailed,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+9622,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9622-425724.",insurance grounded-qa fine-tuning instruction bilingual,stylized,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+9623,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9623-884437.",insurance grounded-qa fine-tuning instruction bilingual,stylized,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+9624,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: BILINGUAL; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9624-377187.",insurance grounded-qa fine-tuning instruction bilingual,detailed,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+9625,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9625-386753.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+9626,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9626-184903.",insurance grounded-qa fine-tuning instruction bilingual,detailed,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+9627,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9627-473996.",insurance grounded-qa fine-tuning instruction bilingual,stylized,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+9628,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; 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: 9628-344418.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+9629,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9629-466982.",insurance grounded-qa fine-tuning instruction bilingual,detailed,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+9630,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; 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: 9630-140454.",insurance grounded-qa fine-tuning instruction bilingual,clean,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+9631,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: data scientist; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9631-161471.",insurance grounded-qa fine-tuning instruction bilingual,detailed,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+9632,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9632-868688.",insurance grounded-qa fine-tuning instruction bilingual,minimal,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+9633,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9633-318705.",insurance grounded-qa fine-tuning instruction bilingual,minimal,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+9634,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9634-351839.",insurance grounded-qa fine-tuning instruction bilingual,minimal,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+9635,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: BILINGUAL; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9635-516727.",insurance grounded-qa fine-tuning instruction bilingual,detailed,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+9636,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; 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: 9636-889682.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+9637,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: BILINGUAL; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9637-129519.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+9638,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: BILINGUAL; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9638-181715.",insurance grounded-qa fine-tuning instruction bilingual,stylized,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+9639,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-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: 9639-331619.",insurance grounded-qa fine-tuning instruction bilingual,detailed,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+9640,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9640-349919.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+9641,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ml engineer; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9641-832455.",insurance grounded-qa fine-tuning instruction bilingual,detailed,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+9642,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-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: 9642-661227.",insurance grounded-qa fine-tuning instruction bilingual,clean,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+9643,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: data scientist; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9643-342148.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+9644,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9644-144109.",insurance grounded-qa fine-tuning instruction bilingual,stylized,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+9645,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-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: 9645-913942.",insurance grounded-qa fine-tuning instruction bilingual,minimal,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+9646,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; 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: 9646-800818.",insurance grounded-qa fine-tuning instruction bilingual,clean,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+9647,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ai researcher; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9647-191945.",insurance grounded-qa fine-tuning instruction bilingual,minimal,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+9648,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9648-461469.",insurance grounded-qa fine-tuning instruction bilingual,detailed,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+9649,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; 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: 9649-715018.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+9650,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: data scientist; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9650-929338.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+9651,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9651-576516.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+9652,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9652-701648.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+9653,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: data scientist; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9653-491863.",insurance grounded-qa fine-tuning instruction bilingual,stylized,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+9654,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9654-846162.",insurance grounded-qa fine-tuning instruction bilingual,clean,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+9655,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9655-933709.",insurance grounded-qa fine-tuning instruction bilingual,stylized,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+9656,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; 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: 9656-275352.",insurance grounded-qa fine-tuning instruction bilingual,clean,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+9657,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9657-947818.",insurance grounded-qa fine-tuning instruction bilingual,clean,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+9658,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9658-107690.",insurance grounded-qa fine-tuning instruction bilingual,clean,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+9659,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9659-848514.",insurance grounded-qa fine-tuning instruction bilingual,detailed,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+9660,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ml engineer; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9660-299373.",insurance grounded-qa fine-tuning instruction bilingual,clean,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+9661,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9661-236514.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+9662,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9662-229211.",insurance grounded-qa fine-tuning instruction bilingual,detailed,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+9663,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: platform engineer; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9663-235265.",insurance grounded-qa fine-tuning instruction bilingual,minimal,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+9664,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; 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: 9664-343000.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+9665,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9665-449653.",insurance grounded-qa fine-tuning instruction bilingual,detailed,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+9666,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9666-325405.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+9667,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: data scientist; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9667-304907.",insurance grounded-qa fine-tuning instruction bilingual,minimal,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+9668,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9668-789495.",insurance grounded-qa fine-tuning instruction bilingual,clean,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+9669,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9669-903043.",insurance grounded-qa fine-tuning instruction bilingual,stylized,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+9670,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9670-168373.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+9671,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9671-554867.",insurance grounded-qa fine-tuning instruction bilingual,stylized,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+9672,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9672-771169.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+9673,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9673-651861.",insurance grounded-qa fine-tuning instruction bilingual,detailed,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+9674,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9674-245724.",insurance grounded-qa fine-tuning instruction bilingual,stylized,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+9675,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9675-103177.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+9676,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9676-901765.",insurance grounded-qa fine-tuning instruction bilingual,stylized,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+9677,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; 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: 9677-367408.",insurance grounded-qa fine-tuning instruction bilingual,minimal,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+9678,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9678-775439.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+9679,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9679-950967.",insurance grounded-qa fine-tuning instruction bilingual,clean,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+9680,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; 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: 9680-665664.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+9681,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: data scientist; Task: benchmarking; Format: long-context; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9681-909263.",insurance grounded-qa fine-tuning instruction bilingual,clean,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+9682,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9682-711716.",insurance grounded-qa fine-tuning instruction bilingual,stylized,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+9683,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9683-551715.",insurance grounded-qa fine-tuning instruction bilingual,detailed,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+9684,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9684-896424.",insurance grounded-qa fine-tuning instruction bilingual,detailed,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+9685,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: platform engineer; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9685-811882.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+9686,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9686-357313.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+9687,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; 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: 9687-306141.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+9688,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9688-601271.",insurance grounded-qa fine-tuning instruction bilingual,stylized,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+9689,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9689-691787.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+9690,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9690-499255.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+9691,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9691-177982.",insurance grounded-qa fine-tuning instruction bilingual,detailed,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+9692,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: BILINGUAL; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9692-575593.",insurance grounded-qa fine-tuning instruction bilingual,minimal,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+9693,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9693-563570.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+9694,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ai researcher; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9694-558848.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+9695,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9695-935930.",insurance grounded-qa fine-tuning instruction bilingual,detailed,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+9696,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: data scientist; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9696-170968.",insurance grounded-qa fine-tuning instruction bilingual,stylized,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+9697,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9697-423780.",insurance grounded-qa fine-tuning instruction bilingual,detailed,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+9698,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9698-264524.",insurance grounded-qa fine-tuning instruction bilingual,stylized,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+9699,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9699-768293.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+9700,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: data scientist; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9700-891139.",insurance grounded-qa fine-tuning instruction bilingual,detailed,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+9701,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-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: 9701-708471.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+9702,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9702-971672.",insurance grounded-qa fine-tuning instruction bilingual,stylized,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+9703,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-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: 9703-657575.",insurance grounded-qa fine-tuning instruction bilingual,detailed,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+9704,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9704-764019.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+9705,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9705-754518.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+9706,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9706-180226.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+9707,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9707-231491.",insurance grounded-qa fine-tuning instruction bilingual,clean,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+9708,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; 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: 9708-648976.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+9709,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9709-603878.",insurance grounded-qa fine-tuning instruction bilingual,minimal,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+9710,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9710-597473.",insurance grounded-qa fine-tuning instruction bilingual,stylized,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+9711,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9711-826524.",insurance grounded-qa fine-tuning instruction bilingual,minimal,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+9712,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; 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: 9712-141802.",insurance grounded-qa fine-tuning instruction bilingual,clean,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+9713,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: BILINGUAL; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9713-829910.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+9714,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9714-103331.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+9715,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; 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: 9715-132625.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+9716,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; 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: 9716-983035.",insurance grounded-qa fine-tuning instruction bilingual,detailed,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+9717,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; 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: 9717-713501.",insurance grounded-qa fine-tuning instruction bilingual,minimal,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+9718,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9718-757341.",insurance grounded-qa fine-tuning instruction bilingual,stylized,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+9719,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9719-503287.",insurance grounded-qa fine-tuning instruction bilingual,stylized,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+9720,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: platform engineer; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9720-817119.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+9721,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9721-618266.",insurance grounded-qa fine-tuning instruction bilingual,stylized,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+9722,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9722-235621.",insurance grounded-qa fine-tuning instruction bilingual,clean,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+9723,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; 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: 9723-674528.",insurance grounded-qa fine-tuning instruction bilingual,detailed,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+9724,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; 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: 9724-273093.",insurance grounded-qa fine-tuning instruction bilingual,stylized,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+9725,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9725-858670.",insurance grounded-qa fine-tuning instruction bilingual,clean,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+9726,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9726-798812.",insurance grounded-qa fine-tuning instruction bilingual,stylized,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+9727,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: data scientist; Task: benchmarking; Format: long-context; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9727-194264.",insurance grounded-qa fine-tuning instruction bilingual,minimal,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+9728,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: BILINGUAL; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9728-936549.",insurance grounded-qa fine-tuning instruction bilingual,minimal,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+9729,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; 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: 9729-528822.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+9730,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ml engineer; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9730-863963.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+9731,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9731-889073.",insurance grounded-qa fine-tuning instruction bilingual,stylized,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+9732,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9732-929821.",insurance grounded-qa fine-tuning instruction bilingual,minimal,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+9733,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9733-689376.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+9734,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9734-908725.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+9735,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9735-130453.",insurance grounded-qa fine-tuning instruction bilingual,clean,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+9736,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; 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: 9736-536307.",insurance grounded-qa fine-tuning instruction bilingual,clean,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+9737,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9737-741498.",insurance grounded-qa fine-tuning instruction bilingual,stylized,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+9738,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9738-461068.",insurance grounded-qa fine-tuning instruction bilingual,clean,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+9739,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9739-585984.",insurance grounded-qa fine-tuning instruction bilingual,minimal,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+9740,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9740-308049.",insurance grounded-qa fine-tuning instruction bilingual,detailed,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+9741,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ml engineer; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9741-199003.",insurance grounded-qa fine-tuning instruction bilingual,stylized,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+9742,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9742-441016.",insurance grounded-qa fine-tuning instruction bilingual,clean,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+9743,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9743-663017.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+9744,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9744-318307.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+9745,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: data scientist; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9745-380241.",insurance grounded-qa fine-tuning instruction bilingual,stylized,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+9746,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9746-569619.",insurance grounded-qa fine-tuning instruction bilingual,clean,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+9747,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9747-197649.",insurance grounded-qa fine-tuning instruction bilingual,minimal,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+9748,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; 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: 9748-775207.",insurance grounded-qa fine-tuning instruction bilingual,stylized,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+9749,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9749-836884.",insurance grounded-qa fine-tuning instruction bilingual,minimal,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+9750,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9750-847031.",insurance grounded-qa fine-tuning instruction bilingual,clean,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+9751,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9751-207319.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+9752,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9752-484367.",insurance grounded-qa fine-tuning instruction bilingual,stylized,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+9753,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; 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: 9753-195391.",insurance grounded-qa fine-tuning instruction bilingual,minimal,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+9754,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9754-698164.",insurance grounded-qa fine-tuning instruction bilingual,minimal,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+9755,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9755-699193.",insurance grounded-qa fine-tuning instruction bilingual,minimal,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+9756,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9756-791672.",insurance grounded-qa fine-tuning instruction bilingual,detailed,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+9757,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9757-523588.",insurance grounded-qa fine-tuning instruction bilingual,detailed,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+9758,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9758-620237.",insurance grounded-qa fine-tuning instruction bilingual,clean,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+9759,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; 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: 9759-832212.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+9760,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ml engineer; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9760-143311.",insurance grounded-qa fine-tuning instruction bilingual,clean,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+9761,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9761-949126.",insurance grounded-qa fine-tuning instruction bilingual,stylized,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+9762,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9762-518970.",insurance grounded-qa fine-tuning instruction bilingual,minimal,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+9763,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9763-266167.",insurance grounded-qa fine-tuning instruction bilingual,minimal,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+9764,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9764-793823.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+9765,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9765-763587.",insurance grounded-qa fine-tuning instruction bilingual,stylized,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+9766,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9766-744483.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+9767,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9767-259403.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+9768,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9768-748569.",insurance grounded-qa fine-tuning instruction bilingual,stylized,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+9769,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9769-818383.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+9770,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9770-638688.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+9771,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9771-173540.",insurance grounded-qa fine-tuning instruction bilingual,clean,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+9772,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9772-309880.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+9773,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9773-630725.",insurance grounded-qa fine-tuning instruction bilingual,detailed,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+9774,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ai researcher; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9774-245670.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+9775,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9775-313091.",insurance grounded-qa fine-tuning instruction bilingual,stylized,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+9776,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: data scientist; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9776-795102.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+9777,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; 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: 9777-281348.",insurance grounded-qa fine-tuning instruction bilingual,clean,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+9778,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: BILINGUAL; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9778-850373.",insurance grounded-qa fine-tuning instruction bilingual,stylized,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+9779,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; 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: 9779-789163.",insurance grounded-qa fine-tuning instruction bilingual,detailed,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+9780,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9780-699772.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+9781,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: data scientist; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9781-393182.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+9782,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9782-980482.",insurance grounded-qa fine-tuning instruction bilingual,stylized,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+9783,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9783-691209.",insurance grounded-qa fine-tuning instruction bilingual,stylized,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+9784,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9784-556230.",insurance grounded-qa fine-tuning instruction bilingual,detailed,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+9785,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9785-977249.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+9786,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9786-885027.",insurance grounded-qa fine-tuning instruction bilingual,minimal,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+9787,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9787-651000.",insurance grounded-qa fine-tuning instruction bilingual,detailed,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+9788,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9788-138907.",insurance grounded-qa fine-tuning instruction bilingual,detailed,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+9789,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; 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: 9789-990636.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+9790,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; 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: 9790-966512.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+9791,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9791-858770.",insurance grounded-qa fine-tuning instruction bilingual,stylized,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+9792,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: data scientist; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9792-589837.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+9793,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: data scientist; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9793-109635.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+9794,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9794-277696.",insurance grounded-qa fine-tuning instruction bilingual,detailed,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+9795,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9795-692003.",insurance grounded-qa fine-tuning instruction bilingual,clean,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+9796,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; 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: 9796-513419.",insurance grounded-qa fine-tuning instruction bilingual,clean,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+9797,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-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: 9797-389329.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+9798,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: data scientist; Task: quality-check; Format: long-context; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9798-322359.",insurance grounded-qa fine-tuning instruction bilingual,minimal,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+9799,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: platform engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9799-999255.",insurance grounded-qa fine-tuning instruction bilingual,clean,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+9800,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; 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: 9800-607600.",insurance grounded-qa fine-tuning instruction bilingual,stylized,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+9801,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9801-171957.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+9802,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9802-910373.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+9803,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-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: 9803-150073.",insurance grounded-qa fine-tuning instruction bilingual,minimal,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+9804,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: BILINGUAL; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9804-475307.",insurance grounded-qa fine-tuning instruction bilingual,detailed,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+9805,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9805-662670.",insurance grounded-qa fine-tuning instruction bilingual,stylized,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+9806,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9806-153527.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+9807,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: platform engineer; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9807-667388.",insurance grounded-qa fine-tuning instruction bilingual,minimal,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+9808,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; 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: 9808-561018.",insurance grounded-qa fine-tuning instruction bilingual,minimal,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+9809,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: data scientist; Task: quality-check; Format: long-context; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9809-464521.",insurance grounded-qa fine-tuning instruction bilingual,detailed,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+9810,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9810-641341.",insurance grounded-qa fine-tuning instruction bilingual,minimal,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+9811,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9811-412225.",insurance grounded-qa fine-tuning instruction bilingual,minimal,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+9812,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; 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: 9812-646013.",insurance grounded-qa fine-tuning instruction bilingual,stylized,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+9813,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; 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: 9813-484617.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+9814,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: data scientist; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9814-556316.",insurance grounded-qa fine-tuning instruction bilingual,detailed,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+9815,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; 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: 9815-486258.",insurance grounded-qa fine-tuning instruction bilingual,detailed,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+9816,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9816-877361.",insurance grounded-qa fine-tuning instruction bilingual,minimal,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+9817,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9817-357865.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+9818,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9818-461120.",insurance grounded-qa fine-tuning instruction bilingual,minimal,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+9819,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9819-395489.",insurance grounded-qa fine-tuning instruction bilingual,clean,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+9820,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-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: 9820-116123.",insurance grounded-qa fine-tuning instruction bilingual,stylized,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+9821,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ai researcher; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9821-461590.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+9822,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; 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: 9822-829097.",insurance grounded-qa fine-tuning instruction bilingual,stylized,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+9823,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9823-314667.",insurance grounded-qa fine-tuning instruction bilingual,detailed,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+9824,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9824-463156.",insurance grounded-qa fine-tuning instruction bilingual,detailed,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+9825,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; 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: 9825-489224.",insurance grounded-qa fine-tuning instruction bilingual,detailed,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+9826,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; 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: 9826-942204.",insurance grounded-qa fine-tuning instruction bilingual,detailed,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+9827,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9827-855862.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+9828,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: platform engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9828-279719.",insurance grounded-qa fine-tuning instruction bilingual,stylized,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+9829,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9829-121163.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+9830,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9830-507414.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+9831,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: BILINGUAL; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9831-410490.",insurance grounded-qa fine-tuning instruction bilingual,stylized,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+9832,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9832-334360.",insurance grounded-qa fine-tuning instruction bilingual,stylized,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+9833,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9833-288362.",insurance grounded-qa fine-tuning instruction bilingual,detailed,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+9834,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; 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: 9834-723541.",insurance grounded-qa fine-tuning instruction bilingual,minimal,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+9835,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9835-374945.",insurance grounded-qa fine-tuning instruction bilingual,stylized,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+9836,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9836-739609.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+9837,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9837-620539.",insurance grounded-qa fine-tuning instruction bilingual,clean,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+9838,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9838-753485.",insurance grounded-qa fine-tuning instruction bilingual,detailed,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+9839,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9839-113236.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+9840,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9840-302233.",insurance grounded-qa fine-tuning instruction bilingual,minimal,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+9841,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9841-925520.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+9842,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: data scientist; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9842-268945.",insurance grounded-qa fine-tuning instruction bilingual,detailed,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+9843,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9843-907591.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+9844,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9844-321509.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+9845,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: BILINGUAL; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9845-548222.",insurance grounded-qa fine-tuning instruction bilingual,stylized,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+9846,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-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: 9846-339819.",insurance grounded-qa fine-tuning instruction bilingual,minimal,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+9847,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9847-413461.",insurance grounded-qa fine-tuning instruction bilingual,clean,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+9848,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9848-962737.",insurance grounded-qa fine-tuning instruction bilingual,clean,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+9849,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9849-458457.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+9850,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; 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: 9850-212741.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+9851,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9851-597017.",insurance grounded-qa fine-tuning instruction bilingual,minimal,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+9852,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-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: 9852-471026.",insurance grounded-qa fine-tuning instruction bilingual,clean,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+9853,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; 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: 9853-933324.",insurance grounded-qa fine-tuning instruction bilingual,detailed,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+9854,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: BILINGUAL; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9854-433257.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+9855,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9855-574880.",insurance grounded-qa fine-tuning instruction bilingual,stylized,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+9856,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: BILINGUAL; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9856-650395.",insurance grounded-qa fine-tuning instruction bilingual,minimal,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+9857,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9857-972022.",insurance grounded-qa fine-tuning instruction bilingual,minimal,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+9858,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; 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: 9858-950331.",insurance grounded-qa fine-tuning instruction bilingual,detailed,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+9859,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-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: 9859-821944.",insurance grounded-qa fine-tuning instruction bilingual,detailed,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+9860,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9860-187637.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+9861,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9861-971613.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+9862,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: BILINGUAL; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9862-366763.",insurance grounded-qa fine-tuning instruction bilingual,stylized,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+9863,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; 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: 9863-792392.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+9864,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9864-131050.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+9865,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9865-425245.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+9866,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; 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: 9866-265208.",insurance grounded-qa fine-tuning instruction bilingual,detailed,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+9867,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9867-729463.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+9868,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9868-936940.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+9869,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9869-606930.",insurance grounded-qa fine-tuning instruction bilingual,stylized,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+9870,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9870-319977.",insurance grounded-qa fine-tuning instruction bilingual,minimal,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+9871,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; 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: 9871-337527.",insurance grounded-qa fine-tuning instruction bilingual,detailed,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+9872,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; 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: 9872-251942.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+9873,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-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: 9873-340121.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+9874,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9874-334801.",insurance grounded-qa fine-tuning instruction bilingual,detailed,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+9875,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9875-565539.",insurance grounded-qa fine-tuning instruction bilingual,stylized,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+9876,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9876-979228.",insurance grounded-qa fine-tuning instruction bilingual,minimal,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+9877,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; 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: 9877-601145.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+9878,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9878-780380.",insurance grounded-qa fine-tuning instruction bilingual,detailed,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+9879,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9879-737160.",insurance grounded-qa fine-tuning instruction bilingual,stylized,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+9880,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9880-474971.",insurance grounded-qa fine-tuning instruction bilingual,clean,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+9881,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; 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: 9881-844781.",insurance grounded-qa fine-tuning instruction bilingual,stylized,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+9882,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: data scientist; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9882-235428.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+9883,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9883-597661.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+9884,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9884-142461.",insurance grounded-qa fine-tuning instruction bilingual,clean,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+9885,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9885-717004.",insurance grounded-qa fine-tuning instruction bilingual,detailed,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+9886,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9886-171341.",insurance grounded-qa fine-tuning instruction bilingual,detailed,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+9887,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; 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: 9887-255833.",insurance grounded-qa fine-tuning instruction bilingual,stylized,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+9888,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9888-570557.",insurance grounded-qa fine-tuning instruction bilingual,stylized,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+9889,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: data scientist; Task: quality-check; Format: long-context; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9889-566242.",insurance grounded-qa fine-tuning instruction bilingual,clean,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+9890,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; 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: 9890-806166.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+9891,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9891-230413.",insurance grounded-qa fine-tuning instruction bilingual,stylized,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+9892,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9892-886551.",insurance grounded-qa fine-tuning instruction bilingual,stylized,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+9893,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9893-194746.",insurance grounded-qa fine-tuning instruction bilingual,clean,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+9894,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9894-165274.",insurance grounded-qa fine-tuning instruction bilingual,stylized,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+9895,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9895-921162.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+9896,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; 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: 9896-880744.",insurance grounded-qa fine-tuning instruction bilingual,clean,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+9897,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ml engineer; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9897-295036.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+9898,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9898-443980.",insurance grounded-qa fine-tuning instruction bilingual,stylized,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+9899,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9899-378436.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+9900,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; 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: 9900-721389.",insurance grounded-qa fine-tuning instruction bilingual,detailed,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+9901,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9901-913017.",insurance grounded-qa fine-tuning instruction bilingual,stylized,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+9902,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; 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: 9902-908211.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+9903,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9903-137734.",insurance grounded-qa fine-tuning instruction bilingual,detailed,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+9904,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9904-564139.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+9905,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; 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: 9905-723769.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+9906,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9906-844755.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+9907,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9907-473241.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+9908,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; 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: 9908-583415.",insurance grounded-qa fine-tuning instruction bilingual,detailed,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+9909,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9909-988057.",insurance grounded-qa fine-tuning instruction bilingual,detailed,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+9910,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9910-136498.",insurance grounded-qa fine-tuning instruction bilingual,detailed,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+9911,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ml engineer; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9911-843686.",insurance grounded-qa fine-tuning instruction bilingual,stylized,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+9912,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9912-278601.",insurance grounded-qa fine-tuning instruction bilingual,detailed,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+9913,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; 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: 9913-927141.",insurance grounded-qa fine-tuning instruction bilingual,stylized,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+9914,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9914-431786.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+9915,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9915-231637.",insurance grounded-qa fine-tuning instruction bilingual,minimal,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+9916,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9916-841613.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+9917,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; 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: 9917-470816.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+9918,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: data scientist; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9918-677181.",insurance grounded-qa fine-tuning instruction bilingual,clean,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+9919,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9919-357163.",insurance grounded-qa fine-tuning instruction bilingual,minimal,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+9920,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9920-448086.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+9921,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9921-897847.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+9922,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9922-747273.",insurance grounded-qa fine-tuning instruction bilingual,stylized,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+9923,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9923-589494.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+9924,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; 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: 9924-366418.",insurance grounded-qa fine-tuning instruction bilingual,clean,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+9925,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; 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: 9925-191129.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+9926,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: BILINGUAL; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9926-800937.",insurance grounded-qa fine-tuning instruction bilingual,minimal,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+9927,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9927-343603.",insurance grounded-qa fine-tuning instruction bilingual,minimal,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+9928,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ai researcher; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9928-857167.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+9929,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: data scientist; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9929-186763.",insurance grounded-qa fine-tuning instruction bilingual,stylized,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+9930,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9930-879644.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+9931,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9931-973324.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+9932,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9932-354222.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+9933,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: BILINGUAL; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9933-467418.",insurance grounded-qa fine-tuning instruction bilingual,minimal,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+9934,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ai researcher; Task: quality-check; Format: long-context; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9934-776758.",insurance grounded-qa fine-tuning instruction bilingual,detailed,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+9935,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9935-514555.",insurance grounded-qa fine-tuning instruction bilingual,minimal,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+9936,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: platform engineer; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9936-916669.",insurance grounded-qa fine-tuning instruction bilingual,detailed,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+9937,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: data scientist; Task: grounding-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9937-821398.",insurance grounded-qa fine-tuning instruction bilingual,clean,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+9938,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: data scientist; Task: quality-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9938-781085.",insurance grounded-qa fine-tuning instruction bilingual,detailed,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+9939,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9939-282457.",insurance grounded-qa fine-tuning instruction bilingual,stylized,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+9940,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9940-872897.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+9941,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; 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: 9941-277729.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+9942,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9942-494212.",insurance grounded-qa fine-tuning instruction bilingual,detailed,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+9943,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9943-904242.",insurance grounded-qa fine-tuning instruction bilingual,detailed,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+9944,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9944-743336.",insurance grounded-qa fine-tuning instruction bilingual,stylized,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+9945,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9945-851041.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+9946,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9946-565652.",insurance grounded-qa fine-tuning instruction bilingual,detailed,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+9947,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9947-725969.",insurance grounded-qa fine-tuning instruction bilingual,clean,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+9948,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9948-934327.",insurance grounded-qa fine-tuning instruction bilingual,stylized,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+9949,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; 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: 9949-887051.",insurance grounded-qa fine-tuning instruction bilingual,minimal,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+9950,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9950-122557.",insurance grounded-qa fine-tuning instruction bilingual,clean,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+9951,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: BILINGUAL; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9951-378141.",insurance grounded-qa fine-tuning instruction bilingual,detailed,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+9952,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9952-218920.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+9953,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9953-143610.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+9954,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9954-442015.",insurance grounded-qa fine-tuning instruction bilingual,detailed,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+9955,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9955-941983.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+9956,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; 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: 9956-118402.",insurance grounded-qa fine-tuning instruction bilingual,detailed,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+9957,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9957-617741.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+9958,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9958-760784.",insurance grounded-qa fine-tuning instruction bilingual,minimal,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+9959,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: BILINGUAL; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9959-919038.",insurance grounded-qa fine-tuning instruction bilingual,minimal,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+9960,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: data scientist; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9960-376560.",insurance grounded-qa fine-tuning instruction bilingual,clean,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+9961,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9961-420230.",insurance grounded-qa fine-tuning instruction bilingual,detailed,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+9962,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-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: 9962-210626.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+9963,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9963-310833.",insurance grounded-qa fine-tuning instruction bilingual,clean,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+9964,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9964-745151.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+9965,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9965-430077.",insurance grounded-qa fine-tuning instruction bilingual,minimal,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+9966,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: data scientist; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9966-664439.",insurance grounded-qa fine-tuning instruction bilingual,minimal,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+9967,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: BILINGUAL; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9967-121598.",insurance grounded-qa fine-tuning instruction bilingual,detailed,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+9968,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9968-993693.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+9969,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9969-442202.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+9970,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9970-102953.",insurance grounded-qa fine-tuning instruction bilingual,stylized,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+9971,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9971-215446.",insurance grounded-qa fine-tuning instruction bilingual,clean,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+9972,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9972-654675.",insurance grounded-qa fine-tuning instruction bilingual,minimal,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+9973,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: data scientist; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9973-663968.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+9974,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; 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: 9974-214776.",insurance grounded-qa fine-tuning instruction bilingual,detailed,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+9975,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; 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: 9975-697573.",insurance grounded-qa fine-tuning instruction bilingual,stylized,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+9976,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: BILINGUAL; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9976-965369.",insurance grounded-qa fine-tuning instruction bilingual,minimal,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+9977,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9977-539268.",insurance grounded-qa fine-tuning instruction bilingual,clean,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+9978,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9978-349899.",insurance grounded-qa fine-tuning instruction bilingual,minimal,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+9979,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9979-332609.",insurance grounded-qa fine-tuning instruction bilingual,minimal,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+9980,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9980-574821.",insurance grounded-qa fine-tuning instruction bilingual,minimal,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+9981,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ai researcher; Task: quality-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9981-923652.",insurance grounded-qa fine-tuning instruction bilingual,stylized,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+9982,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9982-945217.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+9983,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ml engineer; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9983-874150.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+9984,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9984-185201.",insurance grounded-qa fine-tuning instruction bilingual,clean,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+9985,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9985-812185.",insurance grounded-qa fine-tuning instruction bilingual,clean,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+9986,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; 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: 9986-310488.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+9987,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9987-422902.",insurance grounded-qa fine-tuning instruction bilingual,clean,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+9988,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9988-170177.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+9989,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9989-135439.",insurance grounded-qa fine-tuning instruction bilingual,detailed,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+9990,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9990-989834.",insurance grounded-qa fine-tuning instruction bilingual,clean,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+9991,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9991-183771.",insurance grounded-qa fine-tuning instruction bilingual,detailed,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+9992,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9992-838128.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,consistent,2026-02-23T04:11:45.696561Z,1.0000,ok
+9993,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9993-252052.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+9994,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9994-749565.",insurance grounded-qa fine-tuning instruction bilingual,clean,benchmark-grade,2026-02-23T04:11:45.696561Z,1.0000,ok
+9995,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: insurance-grounded-qa; Persona: ai researcher; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9995-414561.",insurance grounded-qa fine-tuning instruction bilingual,minimal,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+9996,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-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: 9996-927151.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,commercial,2026-02-23T04:11:45.696561Z,1.0000,ok
+9997,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: BILINGUAL; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9997-743753.",insurance grounded-qa fine-tuning instruction bilingual,production-ready,premium,2026-02-23T04:11:45.696561Z,1.0000,ok
+9998,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: data scientist; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9998-561072.",insurance grounded-qa fine-tuning instruction bilingual,minimal,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+9999,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-instruction; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9999-761945.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,high-precision,2026-02-23T04:11:45.696561Z,1.0000,ok
+10000,"Theme: insurance grounded-qa fine-tuning instruction bilingual; Domain: grounded-qa-production; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 10000-231091.",insurance grounded-qa fine-tuning instruction bilingual,cinematic,premium,2026-02-23T04:11:45.696561Z,1.0000,ok