diff --git a/offers/travel-classification-regression-suite-20260223_045951/travel-classification-regression-suite-pt-br-69001-20260223045932_enriched.csv b/offers/travel-classification-regression-suite-20260223_045951/travel-classification-regression-suite-pt-br-69001-20260223045932_enriched.csv
new file mode 100644
index 0000000000000000000000000000000000000000..fcd7f67c6ae06276ae437788f006d4ffb6196db9
--- /dev/null
+++ b/offers/travel-classification-regression-suite-20260223_045951/travel-classification-regression-suite-pt-br-69001-20260223045932_enriched.csv
@@ -0,0 +1,10001 @@
+id,prompt,theme,style,quality_hint,created_at,quality_row_score,quality_row_flags
+1,"Theme: travel classification regression-suite qa pt-br; Domain: classification-production; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1-910757.",travel classification regression-suite qa pt-br,minimal,commercial,2026-02-23T04:59:32.955885Z,1.0000,ok
+2,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2-448772.",travel classification regression-suite qa pt-br,stylized,commercial,2026-02-23T04:59:32.955885Z,1.0000,ok
+3,"Theme: travel classification regression-suite qa pt-br; Domain: classification-production; Persona: ml engineer; Task: quality-check; Format: long-context; Language: PT_BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3-297035.",travel classification regression-suite qa pt-br,minimal,benchmark-grade,2026-02-23T04:59:32.955885Z,1.0000,ok
+4,"Theme: travel classification regression-suite qa pt-br; Domain: classification-production; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4-483511.",travel classification regression-suite qa pt-br,minimal,commercial,2026-02-23T04:59:32.955885Z,1.0000,ok
+5,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; Persona: data scientist; Task: robustness-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5-716283.",travel classification regression-suite qa pt-br,cinematic,high-precision,2026-02-23T04:59:32.955885Z,1.0000,ok
+6,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; 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: 6-167761.",travel classification regression-suite qa pt-br,stylized,consistent,2026-02-23T04:59:32.955885Z,1.0000,ok
+7,"Theme: travel classification regression-suite qa pt-br; Domain: classification-production; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7-705966.",travel classification regression-suite qa pt-br,detailed,premium,2026-02-23T04:59:32.955885Z,1.0000,ok
+8,"Theme: travel classification regression-suite qa pt-br; Domain: classification-production; Persona: platform engineer; Task: grounding-check; Format: qa; Language: PT_BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8-426240.",travel classification regression-suite qa pt-br,stylized,consistent,2026-02-23T04:59:32.955885Z,1.0000,ok
+9,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; 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: 9-324271.",travel classification regression-suite qa pt-br,stylized,premium,2026-02-23T04:59:32.955885Z,1.0000,ok
+10,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; Persona: ml engineer; Task: grounding-check; Format: qa; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 10-477782.",travel classification regression-suite qa pt-br,detailed,benchmark-grade,2026-02-23T04:59:32.955885Z,1.0000,ok
+11,"Theme: travel classification regression-suite qa pt-br; Domain: classification-production; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: PT_BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 11-492075.",travel classification regression-suite qa pt-br,stylized,commercial,2026-02-23T04:59:32.955885Z,1.0000,ok
+12,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; Persona: ml engineer; Task: grounding-check; Format: qa; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 12-847006.",travel classification regression-suite qa pt-br,minimal,consistent,2026-02-23T04:59:32.955885Z,1.0000,ok
+13,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; 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: 13-572476.",travel classification regression-suite qa pt-br,minimal,benchmark-grade,2026-02-23T04:59:32.955885Z,1.0000,ok
+14,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; Persona: data scientist; Task: quality-check; Format: qa; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 14-609728.",travel classification regression-suite qa pt-br,stylized,consistent,2026-02-23T04:59:32.955885Z,1.0000,ok
+15,"Theme: travel classification regression-suite qa pt-br; Domain: classification-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: 15-183688.",travel classification regression-suite qa pt-br,detailed,premium,2026-02-23T04:59:32.955885Z,1.0000,ok
+16,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: platform engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 16-385353.",travel classification regression-suite qa pt-br,cinematic,commercial,2026-02-23T04:59:32.955885Z,1.0000,ok
+17,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 17-677593.",travel classification regression-suite qa pt-br,clean,premium,2026-02-23T04:59:32.955885Z,1.0000,ok
+18,"Theme: travel classification regression-suite qa pt-br; Domain: classification-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: 18-908324.",travel classification regression-suite qa pt-br,cinematic,high-precision,2026-02-23T04:59:32.955885Z,1.0000,ok
+19,"Theme: travel classification regression-suite qa pt-br; Domain: classification-production; Persona: ai researcher; Task: benchmarking; Format: qa; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 19-799545.",travel classification regression-suite qa pt-br,detailed,premium,2026-02-23T04:59:32.955885Z,1.0000,ok
+20,"Theme: travel classification regression-suite qa pt-br; Domain: classification-qa; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 20-117026.",travel classification regression-suite qa pt-br,cinematic,high-precision,2026-02-23T04:59:32.955885Z,1.0000,ok
+21,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; 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: 21-786583.",travel classification regression-suite qa pt-br,clean,premium,2026-02-23T04:59:32.955885Z,1.0000,ok
+22,"Theme: travel classification regression-suite qa pt-br; Domain: classification; 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: 22-217466.",travel classification regression-suite qa pt-br,minimal,premium,2026-02-23T04:59:32.955885Z,1.0000,ok
+23,"Theme: travel classification regression-suite qa pt-br; Domain: classification-production; Persona: platform engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 23-890757.",travel classification regression-suite qa pt-br,detailed,benchmark-grade,2026-02-23T04:59:32.955885Z,1.0000,ok
+24,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 24-650566.",travel classification regression-suite qa pt-br,clean,commercial,2026-02-23T04:59:32.955885Z,1.0000,ok
+25,"Theme: travel classification regression-suite qa pt-br; Domain: classification-production; Persona: ai researcher; Task: grounding-check; Format: qa; Language: PT_BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 25-688429.",travel classification regression-suite qa pt-br,cinematic,benchmark-grade,2026-02-23T04:59:32.955885Z,1.0000,ok
+26,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: PT_BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 26-988926.",travel classification regression-suite qa pt-br,cinematic,consistent,2026-02-23T04:59:32.955885Z,1.0000,ok
+27,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: data scientist; Task: quality-check; Format: qa; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 27-321697.",travel classification regression-suite qa pt-br,minimal,benchmark-grade,2026-02-23T04:59:32.955885Z,1.0000,ok
+28,"Theme: travel classification regression-suite qa pt-br; Domain: classification-production; Persona: ai researcher; Task: benchmarking; Format: qa; Language: PT_BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 28-803868.",travel classification regression-suite qa pt-br,detailed,commercial,2026-02-23T04:59:32.955885Z,1.0000,ok
+29,"Theme: travel classification regression-suite qa pt-br; Domain: classification; 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: 29-133225.",travel classification regression-suite qa pt-br,cinematic,premium,2026-02-23T04:59:32.955885Z,1.0000,ok
+30,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 30-564195.",travel classification regression-suite qa pt-br,cinematic,benchmark-grade,2026-02-23T04:59:32.955885Z,1.0000,ok
+31,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: platform engineer; Task: grounding-check; Format: qa; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 31-893094.",travel classification regression-suite qa pt-br,stylized,premium,2026-02-23T04:59:32.955885Z,1.0000,ok
+32,"Theme: travel classification regression-suite qa pt-br; Domain: classification-production; Persona: data scientist; Task: robustness-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 32-421653.",travel classification regression-suite qa pt-br,detailed,benchmark-grade,2026-02-23T04:59:32.955885Z,1.0000,ok
+33,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: PT_BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 33-922841.",travel classification regression-suite qa pt-br,cinematic,benchmark-grade,2026-02-23T04:59:32.955885Z,1.0000,ok
+34,"Theme: travel classification regression-suite qa pt-br; Domain: classification-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: 34-375538.",travel classification regression-suite qa pt-br,detailed,commercial,2026-02-23T04:59:32.955885Z,1.0000,ok
+35,"Theme: travel classification regression-suite qa pt-br; Domain: classification-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: 35-284013.",travel classification regression-suite qa pt-br,production-ready,commercial,2026-02-23T04:59:32.955885Z,1.0000,ok
+36,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 36-504274.",travel classification regression-suite qa pt-br,clean,commercial,2026-02-23T04:59:32.955885Z,1.0000,ok
+37,"Theme: travel classification regression-suite qa pt-br; Domain: classification-production; Persona: ai researcher; Task: benchmarking; Format: qa; Language: PT_BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 37-234749.",travel classification regression-suite qa pt-br,clean,benchmark-grade,2026-02-23T04:59:32.955885Z,1.0000,ok
+38,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: ai researcher; Task: quality-check; Format: long-context; Language: PT_BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 38-165003.",travel classification regression-suite qa pt-br,stylized,premium,2026-02-23T04:59:32.955885Z,1.0000,ok
+39,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: ml engineer; Task: benchmarking; Format: qa; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 39-992867.",travel classification regression-suite qa pt-br,production-ready,commercial,2026-02-23T04:59:32.955885Z,1.0000,ok
+40,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; 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: 40-966781.",travel classification regression-suite qa pt-br,production-ready,consistent,2026-02-23T04:59:32.955885Z,1.0000,ok
+41,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 41-329283.",travel classification regression-suite qa pt-br,detailed,commercial,2026-02-23T04:59:32.955885Z,1.0000,ok
+42,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 42-949944.",travel classification regression-suite qa pt-br,cinematic,benchmark-grade,2026-02-23T04:59:32.955885Z,1.0000,ok
+43,"Theme: travel classification regression-suite qa pt-br; Domain: classification-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: 43-575651.",travel classification regression-suite qa pt-br,detailed,commercial,2026-02-23T04:59:32.955885Z,1.0000,ok
+44,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT_BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 44-247985.",travel classification regression-suite qa pt-br,cinematic,consistent,2026-02-23T04:59:32.955885Z,1.0000,ok
+45,"Theme: travel classification regression-suite qa pt-br; Domain: classification-qa; Persona: ai researcher; Task: quality-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 45-743269.",travel classification regression-suite qa pt-br,stylized,benchmark-grade,2026-02-23T04:59:32.955885Z,1.0000,ok
+46,"Theme: travel classification regression-suite qa pt-br; Domain: classification-production; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT_BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 46-812721.",travel classification regression-suite qa pt-br,stylized,consistent,2026-02-23T04:59:32.955885Z,1.0000,ok
+47,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 47-371160.",travel classification regression-suite qa pt-br,clean,premium,2026-02-23T04:59:32.955885Z,1.0000,ok
+48,"Theme: travel classification regression-suite qa pt-br; Domain: classification-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: 48-295820.",travel classification regression-suite qa pt-br,cinematic,benchmark-grade,2026-02-23T04:59:32.955885Z,1.0000,ok
+49,"Theme: travel classification regression-suite qa pt-br; Domain: classification-production; Persona: ml engineer; Task: benchmarking; Format: qa; Language: PT_BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 49-387422.",travel classification regression-suite qa pt-br,production-ready,premium,2026-02-23T04:59:32.955885Z,1.0000,ok
+50,"Theme: travel classification regression-suite qa pt-br; Domain: classification-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: 50-157443.",travel classification regression-suite qa pt-br,detailed,premium,2026-02-23T04:59:32.955885Z,1.0000,ok
+51,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; Persona: ml engineer; Task: grounding-check; Format: qa; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 51-175852.",travel classification regression-suite qa pt-br,minimal,high-precision,2026-02-23T04:59:32.955885Z,1.0000,ok
+52,"Theme: travel classification regression-suite qa pt-br; Domain: classification-qa; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 52-461716.",travel classification regression-suite qa pt-br,clean,commercial,2026-02-23T04:59:32.955885Z,1.0000,ok
+53,"Theme: travel classification regression-suite qa pt-br; Domain: classification-production; Persona: data scientist; Task: benchmarking; Format: qa; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 53-891998.",travel classification regression-suite qa pt-br,production-ready,benchmark-grade,2026-02-23T04:59:32.955885Z,1.0000,ok
+54,"Theme: travel classification regression-suite qa pt-br; Domain: classification-qa; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 54-255318.",travel classification regression-suite qa pt-br,clean,high-precision,2026-02-23T04:59:32.955885Z,1.0000,ok
+55,"Theme: travel classification regression-suite qa pt-br; Domain: classification-production; Persona: ai researcher; Task: quality-check; Format: long-context; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 55-129776.",travel classification regression-suite qa pt-br,stylized,high-precision,2026-02-23T04:59:32.955885Z,1.0000,ok
+56,"Theme: travel classification regression-suite qa pt-br; Domain: classification-production; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT_BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 56-800721.",travel classification regression-suite qa pt-br,cinematic,commercial,2026-02-23T04:59:32.955885Z,1.0000,ok
+57,"Theme: travel classification regression-suite qa pt-br; Domain: classification-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: 57-690072.",travel classification regression-suite qa pt-br,cinematic,commercial,2026-02-23T04:59:32.955885Z,1.0000,ok
+58,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; Persona: data scientist; Task: quality-check; Format: qa; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 58-199145.",travel classification regression-suite qa pt-br,cinematic,high-precision,2026-02-23T04:59:32.955885Z,1.0000,ok
+59,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: PT_BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 59-891575.",travel classification regression-suite qa pt-br,minimal,commercial,2026-02-23T04:59:32.955885Z,1.0000,ok
+60,"Theme: travel classification regression-suite qa pt-br; Domain: classification-qa; Persona: data scientist; Task: benchmarking; Format: qa; Language: PT_BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 60-862095.",travel classification regression-suite qa pt-br,production-ready,high-precision,2026-02-23T04:59:32.955885Z,1.0000,ok
+61,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; 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: 61-916394.",travel classification regression-suite qa pt-br,production-ready,benchmark-grade,2026-02-23T04:59:32.955885Z,1.0000,ok
+62,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 62-927429.",travel classification regression-suite qa pt-br,production-ready,consistent,2026-02-23T04:59:32.955885Z,1.0000,ok
+63,"Theme: travel classification regression-suite qa pt-br; Domain: classification-qa; Persona: ai researcher; Task: benchmarking; Format: qa; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 63-478460.",travel classification regression-suite qa pt-br,cinematic,benchmark-grade,2026-02-23T04:59:32.955885Z,1.0000,ok
+64,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 64-818078.",travel classification regression-suite qa pt-br,production-ready,commercial,2026-02-23T04:59:32.955885Z,1.0000,ok
+65,"Theme: travel classification regression-suite qa pt-br; Domain: classification-production; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT_BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 65-457837.",travel classification regression-suite qa pt-br,production-ready,commercial,2026-02-23T04:59:32.955885Z,1.0000,ok
+66,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: platform engineer; Task: benchmarking; Format: qa; Language: EN-US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 66-838043.",travel classification regression-suite qa pt-br,production-ready,high-precision,2026-02-23T04:59:32.955885Z,1.0000,ok
+67,"Theme: travel classification regression-suite qa pt-br; Domain: classification; 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: 67-970791.",travel classification regression-suite qa pt-br,detailed,consistent,2026-02-23T04:59:32.955885Z,1.0000,ok
+68,"Theme: travel classification regression-suite qa pt-br; Domain: classification; 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: 68-332152.",travel classification regression-suite qa pt-br,minimal,commercial,2026-02-23T04:59:32.955885Z,1.0000,ok
+69,"Theme: travel classification regression-suite qa pt-br; Domain: classification-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: 69-375955.",travel classification regression-suite qa pt-br,cinematic,consistent,2026-02-23T04:59:32.955885Z,1.0000,ok
+70,"Theme: travel classification regression-suite qa pt-br; Domain: classification; 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: 70-124450.",travel classification regression-suite qa pt-br,stylized,premium,2026-02-23T04:59:32.955885Z,1.0000,ok
+71,"Theme: travel classification regression-suite qa pt-br; Domain: classification-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: 71-963175.",travel classification regression-suite qa pt-br,production-ready,benchmark-grade,2026-02-23T04:59:32.955885Z,1.0000,ok
+72,"Theme: travel classification regression-suite qa pt-br; Domain: classification-production; Persona: ml engineer; Task: grounding-check; Format: qa; Language: PT_BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 72-801896.",travel classification regression-suite qa pt-br,cinematic,benchmark-grade,2026-02-23T04:59:32.955885Z,1.0000,ok
+73,"Theme: travel classification regression-suite qa pt-br; Domain: classification; 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: 73-480606.",travel classification regression-suite qa pt-br,minimal,high-precision,2026-02-23T04:59:32.955885Z,1.0000,ok
+74,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 74-954863.",travel classification regression-suite qa pt-br,stylized,benchmark-grade,2026-02-23T04:59:32.955885Z,1.0000,ok
+75,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; Persona: ai researcher; Task: grounding-check; Format: qa; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 75-210649.",travel classification regression-suite qa pt-br,production-ready,consistent,2026-02-23T04:59:32.955885Z,1.0000,ok
+76,"Theme: travel classification regression-suite qa pt-br; Domain: classification-production; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 76-357023.",travel classification regression-suite qa pt-br,minimal,commercial,2026-02-23T04:59:32.955885Z,1.0000,ok
+77,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: PT_BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 77-147570.",travel classification regression-suite qa pt-br,minimal,premium,2026-02-23T04:59:32.955885Z,1.0000,ok
+78,"Theme: travel classification regression-suite qa pt-br; Domain: classification-qa; 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: 78-677685.",travel classification regression-suite qa pt-br,cinematic,premium,2026-02-23T04:59:32.955885Z,1.0000,ok
+79,"Theme: travel classification regression-suite qa pt-br; Domain: classification-production; Persona: platform engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 79-356071.",travel classification regression-suite qa pt-br,production-ready,benchmark-grade,2026-02-23T04:59:32.955885Z,1.0000,ok
+80,"Theme: travel classification regression-suite qa pt-br; Domain: classification-qa; Persona: platform engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 80-420364.",travel classification regression-suite qa pt-br,clean,high-precision,2026-02-23T04:59:32.955885Z,1.0000,ok
+81,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; Persona: ml engineer; Task: robustness-check; Format: qa; Language: PT_BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 81-138155.",travel classification regression-suite qa pt-br,detailed,benchmark-grade,2026-02-23T04:59:32.955885Z,1.0000,ok
+82,"Theme: travel classification regression-suite qa pt-br; Domain: classification-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: 82-145812.",travel classification regression-suite qa pt-br,stylized,consistent,2026-02-23T04:59:32.955885Z,1.0000,ok
+83,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; 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: 83-412379.",travel classification regression-suite qa pt-br,detailed,commercial,2026-02-23T04:59:32.955885Z,1.0000,ok
+84,"Theme: travel classification regression-suite qa pt-br; Domain: classification-qa; Persona: data scientist; Task: benchmarking; Format: long-context; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 84-530821.",travel classification regression-suite qa pt-br,detailed,high-precision,2026-02-23T04:59:32.955885Z,1.0000,ok
+85,"Theme: travel classification regression-suite qa pt-br; Domain: classification-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: 85-894374.",travel classification regression-suite qa pt-br,cinematic,consistent,2026-02-23T04:59:32.955885Z,1.0000,ok
+86,"Theme: travel classification regression-suite qa pt-br; Domain: classification-production; Persona: platform engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 86-372116.",travel classification regression-suite qa pt-br,cinematic,high-precision,2026-02-23T04:59:32.955885Z,1.0000,ok
+87,"Theme: travel classification regression-suite qa pt-br; Domain: classification-production; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 87-961427.",travel classification regression-suite qa pt-br,production-ready,high-precision,2026-02-23T04:59:32.955885Z,1.0000,ok
+88,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: data scientist; Task: grounding-check; Format: long-context; Language: PT_BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 88-354178.",travel classification regression-suite qa pt-br,detailed,consistent,2026-02-23T04:59:32.955885Z,1.0000,ok
+89,"Theme: travel classification regression-suite qa pt-br; Domain: classification-qa; Persona: platform engineer; Task: grounding-check; Format: qa; Language: PT_BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 89-374932.",travel classification regression-suite qa pt-br,detailed,consistent,2026-02-23T04:59:32.955885Z,1.0000,ok
+90,"Theme: travel classification regression-suite qa pt-br; Domain: classification-qa; Persona: ml engineer; Task: benchmarking; Format: qa; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 90-562749.",travel classification regression-suite qa pt-br,stylized,high-precision,2026-02-23T04:59:32.955885Z,1.0000,ok
+91,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: data scientist; Task: robustness-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 91-625937.",travel classification regression-suite qa pt-br,minimal,commercial,2026-02-23T04:59:32.955885Z,1.0000,ok
+92,"Theme: travel classification regression-suite qa pt-br; Domain: classification-qa; Persona: ml engineer; Task: robustness-check; Format: qa; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 92-242397.",travel classification regression-suite qa pt-br,cinematic,commercial,2026-02-23T04:59:32.955885Z,1.0000,ok
+93,"Theme: travel classification regression-suite qa pt-br; Domain: classification-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: 93-540969.",travel classification regression-suite qa pt-br,clean,benchmark-grade,2026-02-23T04:59:32.955885Z,1.0000,ok
+94,"Theme: travel classification regression-suite qa pt-br; Domain: classification-production; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 94-858933.",travel classification regression-suite qa pt-br,production-ready,consistent,2026-02-23T04:59:32.955885Z,1.0000,ok
+95,"Theme: travel classification regression-suite qa pt-br; Domain: classification-production; Persona: platform engineer; Task: quality-check; Format: qa; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 95-113578.",travel classification regression-suite qa pt-br,clean,commercial,2026-02-23T04:59:32.955885Z,1.0000,ok
+96,"Theme: travel classification regression-suite qa pt-br; Domain: classification-production; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: PT_BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 96-479228.",travel classification regression-suite qa pt-br,detailed,high-precision,2026-02-23T04:59:32.955885Z,1.0000,ok
+97,"Theme: travel classification regression-suite qa pt-br; Domain: classification-production; 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: 97-584353.",travel classification regression-suite qa pt-br,clean,high-precision,2026-02-23T04:59:32.955885Z,1.0000,ok
+98,"Theme: travel classification regression-suite qa pt-br; Domain: classification-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: 98-572814.",travel classification regression-suite qa pt-br,cinematic,consistent,2026-02-23T04:59:32.955885Z,1.0000,ok
+99,"Theme: travel classification regression-suite qa pt-br; Domain: classification-qa; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 99-252866.",travel classification regression-suite qa pt-br,clean,commercial,2026-02-23T04:59:32.955885Z,1.0000,ok
+100,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; Persona: ai researcher; Task: quality-check; Format: qa; Language: PT_BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 100-343083.",travel classification regression-suite qa pt-br,cinematic,commercial,2026-02-23T04:59:32.955885Z,1.0000,ok
+101,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: ml engineer; Task: grounding-check; Format: qa; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 101-839213.",travel classification regression-suite qa pt-br,stylized,high-precision,2026-02-23T04:59:32.955885Z,1.0000,ok
+102,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; Persona: data scientist; Task: quality-check; Format: qa; Language: PT_BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 102-271625.",travel classification regression-suite qa pt-br,stylized,commercial,2026-02-23T04:59:32.955885Z,1.0000,ok
+103,"Theme: travel classification regression-suite qa pt-br; Domain: classification-production; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 103-745741.",travel classification regression-suite qa pt-br,stylized,consistent,2026-02-23T04:59:32.955885Z,1.0000,ok
+104,"Theme: travel classification regression-suite qa pt-br; Domain: classification-qa; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 104-763849.",travel classification regression-suite qa pt-br,detailed,consistent,2026-02-23T04:59:32.955885Z,1.0000,ok
+105,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: PT_BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 105-540341.",travel classification regression-suite qa pt-br,stylized,high-precision,2026-02-23T04:59:32.955885Z,1.0000,ok
+106,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: ai researcher; Task: quality-check; Format: qa; Language: PT_BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 106-834214.",travel classification regression-suite qa pt-br,stylized,premium,2026-02-23T04:59:32.955885Z,1.0000,ok
+107,"Theme: travel classification regression-suite qa pt-br; Domain: classification; 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: 107-460790.",travel classification regression-suite qa pt-br,cinematic,premium,2026-02-23T04:59:32.955885Z,1.0000,ok
+108,"Theme: travel classification regression-suite qa pt-br; Domain: classification-production; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: PT_BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 108-144873.",travel classification regression-suite qa pt-br,stylized,consistent,2026-02-23T04:59:32.955885Z,1.0000,ok
+109,"Theme: travel classification regression-suite qa pt-br; Domain: classification; 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: 109-388832.",travel classification regression-suite qa pt-br,stylized,benchmark-grade,2026-02-23T04:59:32.955885Z,1.0000,ok
+110,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 110-613710.",travel classification regression-suite qa pt-br,detailed,high-precision,2026-02-23T04:59:32.955885Z,1.0000,ok
+111,"Theme: travel classification regression-suite qa pt-br; Domain: classification-production; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 111-219053.",travel classification regression-suite qa pt-br,stylized,commercial,2026-02-23T04:59:32.955885Z,1.0000,ok
+112,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; Persona: platform engineer; Task: quality-check; Format: qa; Language: PT_BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 112-996658.",travel classification regression-suite qa pt-br,minimal,commercial,2026-02-23T04:59:32.955885Z,1.0000,ok
+113,"Theme: travel classification regression-suite qa pt-br; Domain: classification-production; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 113-386416.",travel classification regression-suite qa pt-br,clean,high-precision,2026-02-23T04:59:32.955885Z,1.0000,ok
+114,"Theme: travel classification regression-suite qa pt-br; Domain: classification-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: 114-157709.",travel classification regression-suite qa pt-br,detailed,commercial,2026-02-23T04:59:32.955885Z,1.0000,ok
+115,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 115-422542.",travel classification regression-suite qa pt-br,detailed,benchmark-grade,2026-02-23T04:59:32.955885Z,1.0000,ok
+116,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; Persona: ml engineer; Task: grounding-check; Format: qa; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 116-227409.",travel classification regression-suite qa pt-br,cinematic,high-precision,2026-02-23T04:59:32.955885Z,1.0000,ok
+117,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: ai researcher; Task: grounding-check; Format: qa; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 117-768393.",travel classification regression-suite qa pt-br,minimal,benchmark-grade,2026-02-23T04:59:32.955885Z,1.0000,ok
+118,"Theme: travel classification regression-suite qa pt-br; Domain: classification-qa; Persona: ml engineer; Task: benchmarking; Format: qa; Language: EN-US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 118-812240.",travel classification regression-suite qa pt-br,detailed,consistent,2026-02-23T04:59:32.955885Z,1.0000,ok
+119,"Theme: travel classification regression-suite qa pt-br; Domain: classification-qa; Persona: data scientist; Task: robustness-check; Format: long-context; Language: PT_BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 119-111653.",travel classification regression-suite qa pt-br,clean,high-precision,2026-02-23T04:59:32.955885Z,1.0000,ok
+120,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT_BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 120-804214.",travel classification regression-suite qa pt-br,stylized,benchmark-grade,2026-02-23T04:59:32.955885Z,1.0000,ok
+121,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; Persona: data scientist; Task: benchmarking; Format: long-context; Language: PT_BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 121-184427.",travel classification regression-suite qa pt-br,detailed,benchmark-grade,2026-02-23T04:59:32.955885Z,1.0000,ok
+122,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: ml engineer; Task: robustness-check; Format: qa; Language: PT_BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 122-446372.",travel classification regression-suite qa pt-br,stylized,commercial,2026-02-23T04:59:32.955885Z,1.0000,ok
+123,"Theme: travel classification regression-suite qa pt-br; Domain: classification-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: 123-887367.",travel classification regression-suite qa pt-br,cinematic,high-precision,2026-02-23T04:59:32.955885Z,1.0000,ok
+124,"Theme: travel classification regression-suite qa pt-br; Domain: classification-production; Persona: data scientist; Task: grounding-check; Format: qa; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 124-952373.",travel classification regression-suite qa pt-br,detailed,commercial,2026-02-23T04:59:32.955885Z,1.0000,ok
+125,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: data scientist; Task: robustness-check; Format: long-context; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 125-220846.",travel classification regression-suite qa pt-br,minimal,consistent,2026-02-23T04:59:32.955885Z,1.0000,ok
+126,"Theme: travel classification regression-suite qa pt-br; Domain: classification-production; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: PT_BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 126-391164.",travel classification regression-suite qa pt-br,clean,commercial,2026-02-23T04:59:32.955885Z,1.0000,ok
+127,"Theme: travel classification regression-suite qa pt-br; Domain: classification-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: 127-394907.",travel classification regression-suite qa pt-br,clean,consistent,2026-02-23T04:59:32.955885Z,1.0000,ok
+128,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: ml engineer; Task: robustness-check; Format: qa; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 128-895463.",travel classification regression-suite qa pt-br,detailed,premium,2026-02-23T04:59:32.955885Z,1.0000,ok
+129,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: ml engineer; Task: grounding-check; Format: qa; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 129-822812.",travel classification regression-suite qa pt-br,production-ready,benchmark-grade,2026-02-23T04:59:32.955885Z,1.0000,ok
+130,"Theme: travel classification regression-suite qa pt-br; Domain: classification-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: 130-330619.",travel classification regression-suite qa pt-br,clean,consistent,2026-02-23T04:59:32.955885Z,1.0000,ok
+131,"Theme: travel classification regression-suite qa pt-br; Domain: classification-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: 131-948975.",travel classification regression-suite qa pt-br,detailed,commercial,2026-02-23T04:59:32.955885Z,1.0000,ok
+132,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 132-101573.",travel classification regression-suite qa pt-br,minimal,premium,2026-02-23T04:59:32.955885Z,1.0000,ok
+133,"Theme: travel classification regression-suite qa pt-br; Domain: classification; 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: 133-761609.",travel classification regression-suite qa pt-br,production-ready,premium,2026-02-23T04:59:32.955885Z,1.0000,ok
+134,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 134-406083.",travel classification regression-suite qa pt-br,stylized,premium,2026-02-23T04:59:32.955885Z,1.0000,ok
+135,"Theme: travel classification regression-suite qa pt-br; Domain: classification-production; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 135-395403.",travel classification regression-suite qa pt-br,clean,high-precision,2026-02-23T04:59:32.955885Z,1.0000,ok
+136,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: ai researcher; Task: quality-check; Format: qa; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 136-512890.",travel classification regression-suite qa pt-br,cinematic,benchmark-grade,2026-02-23T04:59:32.955885Z,1.0000,ok
+137,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 137-935022.",travel classification regression-suite qa pt-br,clean,commercial,2026-02-23T04:59:32.955885Z,1.0000,ok
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+139,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 139-362991.",travel classification regression-suite qa pt-br,minimal,premium,2026-02-23T04:59:32.955885Z,1.0000,ok
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+141,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 141-800950.",travel classification regression-suite qa pt-br,minimal,high-precision,2026-02-23T04:59:32.955885Z,1.0000,ok
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+143,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: PT_BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 143-850046.",travel classification regression-suite qa pt-br,stylized,benchmark-grade,2026-02-23T04:59:32.955885Z,1.0000,ok
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+146,"Theme: travel classification regression-suite qa pt-br; Domain: classification-qa; Persona: data scientist; Task: benchmarking; Format: qa; Language: PT_BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 146-369074.",travel classification regression-suite qa pt-br,cinematic,benchmark-grade,2026-02-23T04:59:32.955885Z,1.0000,ok
+147,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: platform engineer; Task: quality-check; Format: qa; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 147-316655.",travel classification regression-suite qa pt-br,clean,premium,2026-02-23T04:59:32.955885Z,1.0000,ok
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+151,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 151-502536.",travel classification regression-suite qa pt-br,stylized,benchmark-grade,2026-02-23T04:59:32.955885Z,1.0000,ok
+152,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: ai researcher; Task: benchmarking; Format: qa; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 152-621322.",travel classification regression-suite qa pt-br,stylized,consistent,2026-02-23T04:59:32.955885Z,1.0000,ok
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+155,"Theme: travel classification regression-suite qa pt-br; Domain: classification-production; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 155-150653.",travel classification regression-suite qa pt-br,clean,commercial,2026-02-23T04:59:32.955885Z,1.0000,ok
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+203,"Theme: travel classification regression-suite qa pt-br; Domain: classification-production; Persona: platform engineer; Task: benchmarking; Format: qa; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 203-986618.",travel classification regression-suite qa pt-br,detailed,consistent,2026-02-23T04:59:32.955885Z,1.0000,ok
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+205,"Theme: travel classification regression-suite qa pt-br; Domain: classification-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: 205-108871.",travel classification regression-suite qa pt-br,production-ready,commercial,2026-02-23T04:59:32.955885Z,1.0000,ok
+206,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 206-700688.",travel classification regression-suite qa pt-br,cinematic,benchmark-grade,2026-02-23T04:59:32.955885Z,1.0000,ok
+207,"Theme: travel classification regression-suite qa pt-br; Domain: classification-qa; Persona: ml engineer; Task: robustness-check; Format: qa; Language: PT_BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 207-823782.",travel classification regression-suite qa pt-br,clean,consistent,2026-02-23T04:59:32.955885Z,1.0000,ok
+208,"Theme: travel classification regression-suite qa pt-br; Domain: classification-production; Persona: ai researcher; Task: quality-check; Format: qa; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 208-761613.",travel classification regression-suite qa pt-br,detailed,benchmark-grade,2026-02-23T04:59:32.955885Z,1.0000,ok
+209,"Theme: travel classification regression-suite qa pt-br; Domain: classification-qa; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 209-190557.",travel classification regression-suite qa pt-br,minimal,consistent,2026-02-23T04:59:32.955885Z,1.0000,ok
+210,"Theme: travel classification regression-suite qa pt-br; Domain: classification-qa; 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: 210-934525.",travel classification regression-suite qa pt-br,minimal,consistent,2026-02-23T04:59:32.955885Z,1.0000,ok
+211,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; Persona: ml engineer; Task: robustness-check; Format: qa; Language: PT_BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 211-254897.",travel classification regression-suite qa pt-br,clean,high-precision,2026-02-23T04:59:32.955885Z,1.0000,ok
+212,"Theme: travel classification regression-suite qa pt-br; Domain: classification-qa; Persona: ai researcher; Task: grounding-check; Format: qa; Language: PT_BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 212-498300.",travel classification regression-suite qa pt-br,minimal,premium,2026-02-23T04:59:32.955885Z,1.0000,ok
+213,"Theme: travel classification regression-suite qa pt-br; Domain: classification-production; Persona: ml engineer; Task: benchmarking; Format: qa; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 213-921946.",travel classification regression-suite qa pt-br,detailed,benchmark-grade,2026-02-23T04:59:32.955885Z,1.0000,ok
+214,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; Persona: ml engineer; Task: quality-check; Format: qa; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 214-213875.",travel classification regression-suite qa pt-br,clean,high-precision,2026-02-23T04:59:32.955885Z,1.0000,ok
+215,"Theme: travel classification regression-suite qa pt-br; Domain: classification; 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: 215-128016.",travel classification regression-suite qa pt-br,detailed,consistent,2026-02-23T04:59:32.955885Z,1.0000,ok
+216,"Theme: travel classification regression-suite qa pt-br; Domain: classification-production; Persona: ml engineer; Task: robustness-check; Format: qa; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 216-371984.",travel classification regression-suite qa pt-br,cinematic,high-precision,2026-02-23T04:59:32.955885Z,1.0000,ok
+217,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: ai researcher; Task: robustness-check; Format: qa; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 217-798345.",travel classification regression-suite qa pt-br,minimal,high-precision,2026-02-23T04:59:32.955885Z,1.0000,ok
+218,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT_BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 218-551264.",travel classification regression-suite qa pt-br,stylized,high-precision,2026-02-23T04:59:32.955885Z,1.0000,ok
+219,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; Persona: platform engineer; Task: benchmarking; Format: qa; Language: PT_BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 219-419822.",travel classification regression-suite qa pt-br,stylized,consistent,2026-02-23T04:59:32.955885Z,1.0000,ok
+220,"Theme: travel classification regression-suite qa pt-br; Domain: classification-production; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 220-360179.",travel classification regression-suite qa pt-br,minimal,commercial,2026-02-23T04:59:32.955885Z,1.0000,ok
+221,"Theme: travel classification regression-suite qa pt-br; Domain: classification-production; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 221-404799.",travel classification regression-suite qa pt-br,detailed,benchmark-grade,2026-02-23T04:59:32.955885Z,1.0000,ok
+222,"Theme: travel classification regression-suite qa pt-br; Domain: classification-production; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: PT_BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 222-619797.",travel classification regression-suite qa pt-br,stylized,high-precision,2026-02-23T04:59:32.955885Z,1.0000,ok
+223,"Theme: travel classification regression-suite qa pt-br; Domain: classification-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: 223-428134.",travel classification regression-suite qa pt-br,cinematic,benchmark-grade,2026-02-23T04:59:32.955885Z,1.0000,ok
+224,"Theme: travel classification regression-suite qa pt-br; Domain: classification-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: 224-757609.",travel classification regression-suite qa pt-br,production-ready,consistent,2026-02-23T04:59:32.955885Z,1.0000,ok
+225,"Theme: travel classification regression-suite qa pt-br; Domain: classification-qa; Persona: ai researcher; Task: robustness-check; Format: qa; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 225-553397.",travel classification regression-suite qa pt-br,cinematic,commercial,2026-02-23T04:59:32.955885Z,1.0000,ok
+226,"Theme: travel classification regression-suite qa pt-br; Domain: classification-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: 226-519737.",travel classification regression-suite qa pt-br,detailed,commercial,2026-02-23T04:59:32.955885Z,1.0000,ok
+227,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 227-583191.",travel classification regression-suite qa pt-br,minimal,commercial,2026-02-23T04:59:32.955885Z,1.0000,ok
+228,"Theme: travel classification regression-suite qa pt-br; Domain: classification-production; 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: 228-316699.",travel classification regression-suite qa pt-br,cinematic,commercial,2026-02-23T04:59:32.955885Z,1.0000,ok
+229,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; 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: 229-183637.",travel classification regression-suite qa pt-br,production-ready,commercial,2026-02-23T04:59:32.955885Z,1.0000,ok
+230,"Theme: travel classification regression-suite qa pt-br; Domain: classification-qa; Persona: ai researcher; Task: quality-check; Format: qa; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 230-777343.",travel classification regression-suite qa pt-br,clean,consistent,2026-02-23T04:59:32.955885Z,1.0000,ok
+231,"Theme: travel classification regression-suite qa pt-br; Domain: classification-qa; Persona: platform engineer; Task: quality-check; Format: qa; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 231-428494.",travel classification regression-suite qa pt-br,cinematic,premium,2026-02-23T04:59:32.955885Z,1.0000,ok
+232,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 232-511659.",travel classification regression-suite qa pt-br,minimal,consistent,2026-02-23T04:59:32.955885Z,1.0000,ok
+233,"Theme: travel classification regression-suite qa pt-br; Domain: classification-production; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT_BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 233-289487.",travel classification regression-suite qa pt-br,cinematic,benchmark-grade,2026-02-23T04:59:32.955885Z,1.0000,ok
+234,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 234-306963.",travel classification regression-suite qa pt-br,cinematic,commercial,2026-02-23T04:59:32.955885Z,1.0000,ok
+235,"Theme: travel classification regression-suite qa pt-br; Domain: classification-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: 235-390894.",travel classification regression-suite qa pt-br,clean,premium,2026-02-23T04:59:32.955885Z,1.0000,ok
+236,"Theme: travel classification regression-suite qa pt-br; Domain: classification-production; Persona: data scientist; Task: benchmarking; Format: qa; Language: PT_BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 236-618741.",travel classification regression-suite qa pt-br,production-ready,commercial,2026-02-23T04:59:32.955885Z,1.0000,ok
+237,"Theme: travel classification regression-suite qa pt-br; Domain: classification-qa; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT_BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 237-314221.",travel classification regression-suite qa pt-br,cinematic,commercial,2026-02-23T04:59:32.955885Z,1.0000,ok
+238,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; 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: 238-517037.",travel classification regression-suite qa pt-br,minimal,consistent,2026-02-23T04:59:32.955885Z,1.0000,ok
+239,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 239-891397.",travel classification regression-suite qa pt-br,clean,high-precision,2026-02-23T04:59:32.955885Z,1.0000,ok
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+266,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 266-949662.",travel classification regression-suite qa pt-br,stylized,commercial,2026-02-23T04:59:32.955885Z,1.0000,ok
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+270,"Theme: travel classification regression-suite qa pt-br; Domain: classification-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: 270-595379.",travel classification regression-suite qa pt-br,detailed,consistent,2026-02-23T04:59:32.955885Z,1.0000,ok
+271,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: PT_BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 271-139334.",travel classification regression-suite qa pt-br,detailed,benchmark-grade,2026-02-23T04:59:32.955885Z,1.0000,ok
+272,"Theme: travel classification regression-suite qa pt-br; Domain: classification-production; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 272-426617.",travel classification regression-suite qa pt-br,detailed,commercial,2026-02-23T04:59:32.955885Z,1.0000,ok
+273,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; 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: 273-840396.",travel classification regression-suite qa pt-br,clean,commercial,2026-02-23T04:59:32.955885Z,1.0000,ok
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+276,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: platform engineer; Task: grounding-check; Format: qa; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 276-291260.",travel classification regression-suite qa pt-br,stylized,high-precision,2026-02-23T04:59:32.955885Z,1.0000,ok
+277,"Theme: travel classification regression-suite qa pt-br; Domain: classification-qa; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 277-592797.",travel classification regression-suite qa pt-br,cinematic,consistent,2026-02-23T04:59:32.955885Z,1.0000,ok
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+283,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: PT_BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 283-386226.",travel classification regression-suite qa pt-br,detailed,premium,2026-02-23T04:59:32.955885Z,1.0000,ok
+284,"Theme: travel classification regression-suite qa pt-br; Domain: classification-production; Persona: platform engineer; Task: grounding-check; Format: qa; Language: PT_BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 284-900518.",travel classification regression-suite qa pt-br,detailed,high-precision,2026-02-23T04:59:32.955885Z,1.0000,ok
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+290,"Theme: travel classification regression-suite qa pt-br; Domain: classification-qa; Persona: platform engineer; Task: benchmarking; Format: qa; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 290-231781.",travel classification regression-suite qa pt-br,detailed,consistent,2026-02-23T04:59:32.955885Z,1.0000,ok
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+292,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 292-333361.",travel classification regression-suite qa pt-br,detailed,consistent,2026-02-23T04:59:32.955885Z,1.0000,ok
+293,"Theme: travel classification regression-suite qa pt-br; Domain: classification-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: 293-167695.",travel classification regression-suite qa pt-br,detailed,premium,2026-02-23T04:59:32.955885Z,1.0000,ok
+294,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; Persona: data scientist; Task: robustness-check; Format: long-context; Language: PT_BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 294-935031.",travel classification regression-suite qa pt-br,detailed,commercial,2026-02-23T04:59:32.955885Z,1.0000,ok
+295,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 295-840550.",travel classification regression-suite qa pt-br,cinematic,high-precision,2026-02-23T04:59:32.955885Z,1.0000,ok
+296,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: PT_BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 296-498522.",travel classification regression-suite qa pt-br,detailed,commercial,2026-02-23T04:59:32.955885Z,1.0000,ok
+297,"Theme: travel classification regression-suite qa pt-br; Domain: classification-production; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 297-810630.",travel classification regression-suite qa pt-br,minimal,commercial,2026-02-23T04:59:32.955885Z,1.0000,ok
+298,"Theme: travel classification regression-suite qa pt-br; Domain: classification-qa; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 298-920994.",travel classification regression-suite qa pt-br,detailed,commercial,2026-02-23T04:59:32.955885Z,1.0000,ok
+299,"Theme: travel classification regression-suite qa pt-br; Domain: classification-qa; Persona: ml engineer; Task: grounding-check; Format: qa; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 299-429870.",travel classification regression-suite qa pt-br,stylized,consistent,2026-02-23T04:59:32.955885Z,1.0000,ok
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+339,"Theme: travel classification regression-suite qa pt-br; Domain: classification-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: 339-643599.",travel classification regression-suite qa pt-br,stylized,consistent,2026-02-23T04:59:32.955885Z,1.0000,ok
+340,"Theme: travel classification regression-suite qa pt-br; Domain: classification-qa; Persona: data scientist; Task: grounding-check; Format: qa; Language: PT_BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 340-739435.",travel classification regression-suite qa pt-br,stylized,commercial,2026-02-23T04:59:32.955885Z,1.0000,ok
+341,"Theme: travel classification regression-suite qa pt-br; Domain: classification-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: 341-363030.",travel classification regression-suite qa pt-br,detailed,high-precision,2026-02-23T04:59:32.955885Z,1.0000,ok
+342,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 342-730398.",travel classification regression-suite qa pt-br,cinematic,commercial,2026-02-23T04:59:32.955885Z,1.0000,ok
+343,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 343-572676.",travel classification regression-suite qa pt-br,production-ready,commercial,2026-02-23T04:59:32.955885Z,1.0000,ok
+344,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: PT_BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 344-801909.",travel classification regression-suite qa pt-br,detailed,premium,2026-02-23T04:59:32.955885Z,1.0000,ok
+345,"Theme: travel classification regression-suite qa pt-br; Domain: classification; 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: 345-741402.",travel classification regression-suite qa pt-br,cinematic,high-precision,2026-02-23T04:59:32.955885Z,1.0000,ok
+346,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 346-235645.",travel classification regression-suite qa pt-br,stylized,high-precision,2026-02-23T04:59:32.955885Z,1.0000,ok
+347,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 347-483203.",travel classification regression-suite qa pt-br,stylized,premium,2026-02-23T04:59:32.955885Z,1.0000,ok
+348,"Theme: travel classification regression-suite qa pt-br; Domain: classification; 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: 348-635104.",travel classification regression-suite qa pt-br,production-ready,consistent,2026-02-23T04:59:32.955885Z,1.0000,ok
+349,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT_BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 349-566131.",travel classification regression-suite qa pt-br,detailed,high-precision,2026-02-23T04:59:32.955885Z,1.0000,ok
+350,"Theme: travel classification regression-suite qa pt-br; Domain: classification; 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: 350-457024.",travel classification regression-suite qa pt-br,stylized,consistent,2026-02-23T04:59:32.955885Z,1.0000,ok
+351,"Theme: travel classification regression-suite qa pt-br; Domain: classification-qa; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: PT_BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 351-100906.",travel classification regression-suite qa pt-br,clean,premium,2026-02-23T04:59:32.955885Z,1.0000,ok
+352,"Theme: travel classification regression-suite qa pt-br; Domain: classification-production; 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: 352-915152.",travel classification regression-suite qa pt-br,production-ready,consistent,2026-02-23T04:59:32.955885Z,1.0000,ok
+353,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: data scientist; Task: robustness-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 353-661440.",travel classification regression-suite qa pt-br,detailed,benchmark-grade,2026-02-23T04:59:32.955885Z,1.0000,ok
+354,"Theme: travel classification regression-suite qa pt-br; Domain: classification-qa; Persona: ml engineer; Task: benchmarking; Format: qa; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 354-566581.",travel classification regression-suite qa pt-br,cinematic,high-precision,2026-02-23T04:59:32.955885Z,1.0000,ok
+355,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT_BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 355-257734.",travel classification regression-suite qa pt-br,production-ready,premium,2026-02-23T04:59:32.955885Z,1.0000,ok
+356,"Theme: travel classification regression-suite qa pt-br; Domain: classification-qa; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 356-187296.",travel classification regression-suite qa pt-br,stylized,commercial,2026-02-23T04:59:32.955885Z,1.0000,ok
+357,"Theme: travel classification regression-suite qa pt-br; Domain: classification-production; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 357-848176.",travel classification regression-suite qa pt-br,production-ready,high-precision,2026-02-23T04:59:32.955885Z,1.0000,ok
+358,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT_BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 358-802416.",travel classification regression-suite qa pt-br,stylized,premium,2026-02-23T04:59:32.955885Z,1.0000,ok
+359,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: ml engineer; Task: robustness-check; Format: qa; Language: PT_BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 359-180349.",travel classification regression-suite qa pt-br,production-ready,commercial,2026-02-23T04:59:32.955885Z,1.0000,ok
+360,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 360-955168.",travel classification regression-suite qa pt-br,detailed,high-precision,2026-02-23T04:59:32.955885Z,1.0000,ok
+361,"Theme: travel classification regression-suite qa pt-br; Domain: classification-qa; Persona: ai researcher; Task: benchmarking; Format: qa; Language: PT_BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 361-541230.",travel classification regression-suite qa pt-br,cinematic,commercial,2026-02-23T04:59:32.955885Z,1.0000,ok
+362,"Theme: travel classification regression-suite qa pt-br; Domain: classification-production; Persona: platform engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 362-650026.",travel classification regression-suite qa pt-br,stylized,consistent,2026-02-23T04:59:32.955885Z,1.0000,ok
+363,"Theme: travel classification regression-suite qa pt-br; Domain: classification-qa; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 363-383452.",travel classification regression-suite qa pt-br,cinematic,consistent,2026-02-23T04:59:32.955885Z,1.0000,ok
+364,"Theme: travel classification regression-suite qa pt-br; Domain: classification-qa; Persona: platform engineer; Task: grounding-check; Format: qa; Language: PT_BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 364-774282.",travel classification regression-suite qa pt-br,production-ready,consistent,2026-02-23T04:59:32.955885Z,1.0000,ok
+365,"Theme: travel classification regression-suite qa pt-br; Domain: classification-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: 365-331301.",travel classification regression-suite qa pt-br,minimal,premium,2026-02-23T04:59:32.955885Z,1.0000,ok
+366,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: platform engineer; Task: robustness-check; Format: qa; Language: PT_BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 366-297428.",travel classification regression-suite qa pt-br,cinematic,premium,2026-02-23T04:59:32.955885Z,1.0000,ok
+367,"Theme: travel classification regression-suite qa pt-br; Domain: classification-production; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT_BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 367-119039.",travel classification regression-suite qa pt-br,minimal,commercial,2026-02-23T04:59:32.955885Z,1.0000,ok
+368,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 368-906010.",travel classification regression-suite qa pt-br,cinematic,consistent,2026-02-23T04:59:32.955885Z,1.0000,ok
+369,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT_BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 369-963841.",travel classification regression-suite qa pt-br,minimal,commercial,2026-02-23T04:59:32.955885Z,1.0000,ok
+370,"Theme: travel classification regression-suite qa pt-br; Domain: classification-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: 370-494997.",travel classification regression-suite qa pt-br,production-ready,commercial,2026-02-23T04:59:32.955885Z,1.0000,ok
+371,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; Persona: ai researcher; Task: quality-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 371-226284.",travel classification regression-suite qa pt-br,clean,premium,2026-02-23T04:59:32.955885Z,1.0000,ok
+372,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; Persona: platform engineer; Task: grounding-check; Format: qa; Language: PT_BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 372-222461.",travel classification regression-suite qa pt-br,detailed,high-precision,2026-02-23T04:59:32.955885Z,1.0000,ok
+373,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 373-335308.",travel classification regression-suite qa pt-br,stylized,high-precision,2026-02-23T04:59:32.955885Z,1.0000,ok
+374,"Theme: travel classification regression-suite qa pt-br; Domain: classification-qa; 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: 374-368135.",travel classification regression-suite qa pt-br,clean,premium,2026-02-23T04:59:32.955885Z,1.0000,ok
+375,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 375-728915.",travel classification regression-suite qa pt-br,clean,premium,2026-02-23T04:59:32.955885Z,1.0000,ok
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+378,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; Persona: data scientist; Task: grounding-check; Format: qa; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 378-254579.",travel classification regression-suite qa pt-br,stylized,consistent,2026-02-23T04:59:32.955885Z,1.0000,ok
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+383,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 383-990794.",travel classification regression-suite qa pt-br,stylized,benchmark-grade,2026-02-23T04:59:32.955885Z,1.0000,ok
+384,"Theme: travel classification regression-suite qa pt-br; Domain: classification-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: 384-491271.",travel classification regression-suite qa pt-br,cinematic,high-precision,2026-02-23T04:59:32.955885Z,1.0000,ok
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+386,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 386-726900.",travel classification regression-suite qa pt-br,cinematic,commercial,2026-02-23T04:59:32.955885Z,1.0000,ok
+387,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: ai researcher; Task: grounding-check; Format: qa; Language: EN-US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 387-411915.",travel classification regression-suite qa pt-br,detailed,premium,2026-02-23T04:59:32.955885Z,1.0000,ok
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+392,"Theme: travel classification regression-suite qa pt-br; Domain: classification; 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: 392-617700.",travel classification regression-suite qa pt-br,clean,consistent,2026-02-23T04:59:32.955885Z,1.0000,ok
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+394,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 394-416251.",travel classification regression-suite qa pt-br,stylized,benchmark-grade,2026-02-23T04:59:32.955885Z,1.0000,ok
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+396,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 396-923563.",travel classification regression-suite qa pt-br,clean,premium,2026-02-23T04:59:32.955885Z,1.0000,ok
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+398,"Theme: travel classification regression-suite qa pt-br; Domain: classification-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: 398-720774.",travel classification regression-suite qa pt-br,cinematic,consistent,2026-02-23T04:59:32.955885Z,1.0000,ok
+399,"Theme: travel classification regression-suite qa pt-br; Domain: classification-production; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT_BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 399-974570.",travel classification regression-suite qa pt-br,minimal,premium,2026-02-23T04:59:32.955885Z,1.0000,ok
+400,"Theme: travel classification regression-suite qa pt-br; Domain: classification-qa; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 400-460374.",travel classification regression-suite qa pt-br,detailed,high-precision,2026-02-23T04:59:32.955885Z,1.0000,ok
+401,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT_BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 401-656986.",travel classification regression-suite qa pt-br,stylized,commercial,2026-02-23T04:59:32.955885Z,1.0000,ok
+402,"Theme: travel classification regression-suite qa pt-br; Domain: classification-production; Persona: ml engineer; Task: grounding-check; Format: qa; Language: PT_BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 402-216357.",travel classification regression-suite qa pt-br,production-ready,high-precision,2026-02-23T04:59:32.955885Z,1.0000,ok
+403,"Theme: travel classification regression-suite qa pt-br; Domain: classification-production; Persona: platform engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 403-702915.",travel classification regression-suite qa pt-br,stylized,high-precision,2026-02-23T04:59:32.955885Z,1.0000,ok
+404,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; 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: 404-173644.",travel classification regression-suite qa pt-br,production-ready,premium,2026-02-23T04:59:32.955885Z,1.0000,ok
+405,"Theme: travel classification regression-suite qa pt-br; Domain: classification-qa; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: PT_BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 405-134509.",travel classification regression-suite qa pt-br,minimal,consistent,2026-02-23T04:59:32.955885Z,1.0000,ok
+406,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; Persona: ai researcher; Task: grounding-check; Format: qa; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 406-966698.",travel classification regression-suite qa pt-br,cinematic,premium,2026-02-23T04:59:32.955885Z,1.0000,ok
+407,"Theme: travel classification regression-suite qa pt-br; Domain: classification-qa; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: PT_BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 407-392631.",travel classification regression-suite qa pt-br,detailed,high-precision,2026-02-23T04:59:32.955885Z,1.0000,ok
+408,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 408-560806.",travel classification regression-suite qa pt-br,production-ready,benchmark-grade,2026-02-23T04:59:32.955885Z,1.0000,ok
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+411,"Theme: travel classification regression-suite qa pt-br; Domain: classification-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: 411-652910.",travel classification regression-suite qa pt-br,clean,commercial,2026-02-23T04:59:32.955885Z,1.0000,ok
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+414,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: data scientist; Task: grounding-check; Format: long-context; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 414-658960.",travel classification regression-suite qa pt-br,stylized,commercial,2026-02-23T04:59:32.955885Z,1.0000,ok
+415,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: data scientist; Task: robustness-check; Format: qa; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 415-124517.",travel classification regression-suite qa pt-br,minimal,consistent,2026-02-23T04:59:32.955885Z,1.0000,ok
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+417,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: data scientist; Task: grounding-check; Format: qa; Language: PT_BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 417-452373.",travel classification regression-suite qa pt-br,clean,high-precision,2026-02-23T04:59:32.955885Z,1.0000,ok
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+420,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: data scientist; Task: benchmarking; Format: qa; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 420-276546.",travel classification regression-suite qa pt-br,cinematic,premium,2026-02-23T04:59:32.955885Z,1.0000,ok
+421,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: platform engineer; Task: benchmarking; Format: qa; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 421-812862.",travel classification regression-suite qa pt-br,minimal,benchmark-grade,2026-02-23T04:59:32.955885Z,1.0000,ok
+422,"Theme: travel classification regression-suite qa pt-br; Domain: classification-qa; Persona: data scientist; Task: quality-check; Format: long-context; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 422-586984.",travel classification regression-suite qa pt-br,clean,commercial,2026-02-23T04:59:32.955885Z,1.0000,ok
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+426,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT_BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 426-478525.",travel classification regression-suite qa pt-br,stylized,premium,2026-02-23T04:59:32.955885Z,1.0000,ok
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+430,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 430-453793.",travel classification regression-suite qa pt-br,minimal,commercial,2026-02-23T04:59:32.955885Z,1.0000,ok
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+432,"Theme: travel classification regression-suite qa pt-br; Domain: classification-production; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT_BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 432-773512.",travel classification regression-suite qa pt-br,minimal,high-precision,2026-02-23T04:59:32.955885Z,1.0000,ok
+433,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 433-672881.",travel classification regression-suite qa pt-br,minimal,premium,2026-02-23T04:59:32.955885Z,1.0000,ok
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+483,"Theme: travel classification regression-suite qa pt-br; Domain: classification-production; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT_BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 483-740180.",travel classification regression-suite qa pt-br,cinematic,premium,2026-02-23T04:59:32.955885Z,1.0000,ok
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+494,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: PT_BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 494-918434.",travel classification regression-suite qa pt-br,clean,commercial,2026-02-23T04:59:32.955885Z,1.0000,ok
+495,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 495-984137.",travel classification regression-suite qa pt-br,production-ready,benchmark-grade,2026-02-23T04:59:32.955885Z,1.0000,ok
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+497,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT_BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 497-833819.",travel classification regression-suite qa pt-br,detailed,commercial,2026-02-23T04:59:32.955885Z,1.0000,ok
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+500,"Theme: travel classification regression-suite qa pt-br; Domain: classification-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: 500-104078.",travel classification regression-suite qa pt-br,clean,premium,2026-02-23T04:59:32.955885Z,1.0000,ok
+501,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 501-726517.",travel classification regression-suite qa pt-br,production-ready,consistent,2026-02-23T04:59:32.955885Z,1.0000,ok
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+504,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: platform engineer; Task: grounding-check; Format: qa; Language: PT_BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 504-545563.",travel classification regression-suite qa pt-br,cinematic,benchmark-grade,2026-02-23T04:59:32.955885Z,1.0000,ok
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+507,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 507-531712.",travel classification regression-suite qa pt-br,minimal,commercial,2026-02-23T04:59:32.955885Z,1.0000,ok
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+512,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: ai researcher; Task: benchmarking; Format: qa; Language: PT_BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 512-872378.",travel classification regression-suite qa pt-br,production-ready,benchmark-grade,2026-02-23T04:59:32.955885Z,1.0000,ok
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+541,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: PT_BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 541-155620.",travel classification regression-suite qa pt-br,minimal,consistent,2026-02-23T04:59:32.955885Z,1.0000,ok
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+543,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT_BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 543-591620.",travel classification regression-suite qa pt-br,cinematic,commercial,2026-02-23T04:59:32.955885Z,1.0000,ok
+544,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 544-510468.",travel classification regression-suite qa pt-br,stylized,benchmark-grade,2026-02-23T04:59:32.955885Z,1.0000,ok
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+611,"Theme: travel classification regression-suite qa pt-br; Domain: classification-qa; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 611-663042.",travel classification regression-suite qa pt-br,cinematic,consistent,2026-02-23T04:59:32.955885Z,1.0000,ok
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+614,"Theme: travel classification regression-suite qa pt-br; Domain: classification-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: 614-248219.",travel classification regression-suite qa pt-br,minimal,benchmark-grade,2026-02-23T04:59:32.955885Z,1.0000,ok
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+616,"Theme: travel classification regression-suite qa pt-br; Domain: classification-qa; Persona: platform engineer; Task: grounding-check; Format: qa; Language: PT_BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 616-383498.",travel classification regression-suite qa pt-br,stylized,premium,2026-02-23T04:59:32.955885Z,1.0000,ok
+617,"Theme: travel classification regression-suite qa pt-br; Domain: classification-production; Persona: platform engineer; Task: robustness-check; Format: qa; Language: PT_BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 617-534017.",travel classification regression-suite qa pt-br,production-ready,consistent,2026-02-23T04:59:32.955885Z,1.0000,ok
+618,"Theme: travel classification regression-suite qa pt-br; Domain: classification-qa; Persona: ai researcher; Task: benchmarking; Format: qa; Language: PT_BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 618-644097.",travel classification regression-suite qa pt-br,minimal,benchmark-grade,2026-02-23T04:59:32.955885Z,1.0000,ok
+619,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: PT_BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 619-738853.",travel classification regression-suite qa pt-br,stylized,commercial,2026-02-23T04:59:32.955885Z,1.0000,ok
+620,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 620-749832.",travel classification regression-suite qa pt-br,cinematic,premium,2026-02-23T04:59:32.955885Z,1.0000,ok
+621,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; 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: 621-787187.",travel classification regression-suite qa pt-br,detailed,premium,2026-02-23T04:59:32.955885Z,1.0000,ok
+622,"Theme: travel classification regression-suite qa pt-br; Domain: classification-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: 622-386146.",travel classification regression-suite qa pt-br,clean,benchmark-grade,2026-02-23T04:59:32.955885Z,1.0000,ok
+623,"Theme: travel classification regression-suite qa pt-br; Domain: classification-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: 623-361721.",travel classification regression-suite qa pt-br,production-ready,commercial,2026-02-23T04:59:32.955885Z,1.0000,ok
+624,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; Persona: platform engineer; Task: benchmarking; Format: qa; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 624-166714.",travel classification regression-suite qa pt-br,minimal,high-precision,2026-02-23T04:59:32.955885Z,1.0000,ok
+625,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; Persona: platform engineer; Task: quality-check; Format: qa; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 625-428827.",travel classification regression-suite qa pt-br,cinematic,premium,2026-02-23T04:59:32.955885Z,1.0000,ok
+626,"Theme: travel classification regression-suite qa pt-br; Domain: classification; 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: 626-542939.",travel classification regression-suite qa pt-br,production-ready,high-precision,2026-02-23T04:59:32.955885Z,1.0000,ok
+627,"Theme: travel classification regression-suite qa pt-br; Domain: classification-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: 627-715653.",travel classification regression-suite qa pt-br,clean,premium,2026-02-23T04:59:32.955885Z,1.0000,ok
+628,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 628-455065.",travel classification regression-suite qa pt-br,detailed,high-precision,2026-02-23T04:59:32.955885Z,1.0000,ok
+629,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; Persona: platform engineer; Task: robustness-check; Format: qa; Language: EN-US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 629-638225.",travel classification regression-suite qa pt-br,clean,high-precision,2026-02-23T04:59:32.955885Z,1.0000,ok
+630,"Theme: travel classification regression-suite qa pt-br; Domain: classification-production; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 630-585596.",travel classification regression-suite qa pt-br,minimal,commercial,2026-02-23T04:59:32.955885Z,1.0000,ok
+631,"Theme: travel classification regression-suite qa pt-br; Domain: classification-production; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 631-319473.",travel classification regression-suite qa pt-br,clean,benchmark-grade,2026-02-23T04:59:32.955885Z,1.0000,ok
+632,"Theme: travel classification regression-suite qa pt-br; Domain: classification-qa; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 632-765507.",travel classification regression-suite qa pt-br,clean,benchmark-grade,2026-02-23T04:59:32.955885Z,1.0000,ok
+633,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: data scientist; Task: quality-check; Format: long-context; Language: PT_BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 633-149283.",travel classification regression-suite qa pt-br,cinematic,commercial,2026-02-23T04:59:32.955885Z,1.0000,ok
+634,"Theme: travel classification regression-suite qa pt-br; Domain: classification-production; Persona: platform engineer; Task: benchmarking; Format: qa; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 634-150018.",travel classification regression-suite qa pt-br,cinematic,commercial,2026-02-23T04:59:32.955885Z,1.0000,ok
+635,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; Persona: data scientist; Task: benchmarking; Format: long-context; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 635-935095.",travel classification regression-suite qa pt-br,detailed,commercial,2026-02-23T04:59:32.955885Z,1.0000,ok
+636,"Theme: travel classification regression-suite qa pt-br; Domain: classification-qa; Persona: ml engineer; Task: grounding-check; Format: qa; Language: PT_BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 636-252626.",travel classification regression-suite qa pt-br,stylized,premium,2026-02-23T04:59:32.955885Z,1.0000,ok
+637,"Theme: travel classification regression-suite qa pt-br; Domain: classification-production; Persona: data scientist; Task: quality-check; Format: qa; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 637-579365.",travel classification regression-suite qa pt-br,cinematic,high-precision,2026-02-23T04:59:32.955885Z,1.0000,ok
+638,"Theme: travel classification regression-suite qa pt-br; Domain: classification-qa; Persona: ml engineer; Task: benchmarking; Format: qa; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 638-936920.",travel classification regression-suite qa pt-br,clean,consistent,2026-02-23T04:59:32.955885Z,1.0000,ok
+639,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 639-353894.",travel classification regression-suite qa pt-br,stylized,high-precision,2026-02-23T04:59:32.955885Z,1.0000,ok
+640,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; Persona: data scientist; Task: benchmarking; Format: qa; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 640-652783.",travel classification regression-suite qa pt-br,clean,consistent,2026-02-23T04:59:32.955885Z,1.0000,ok
+641,"Theme: travel classification regression-suite qa pt-br; Domain: classification-qa; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 641-548142.",travel classification regression-suite qa pt-br,minimal,high-precision,2026-02-23T04:59:32.955885Z,1.0000,ok
+642,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; Persona: data scientist; Task: benchmarking; Format: qa; Language: PT_BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 642-456949.",travel classification regression-suite qa pt-br,minimal,high-precision,2026-02-23T04:59:32.955885Z,1.0000,ok
+643,"Theme: travel classification regression-suite qa pt-br; Domain: classification; 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: 643-307070.",travel classification regression-suite qa pt-br,clean,commercial,2026-02-23T04:59:32.955885Z,1.0000,ok
+644,"Theme: travel classification regression-suite qa pt-br; Domain: classification-qa; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: PT_BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 644-417215.",travel classification regression-suite qa pt-br,clean,commercial,2026-02-23T04:59:32.955885Z,1.0000,ok
+645,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT_BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 645-186257.",travel classification regression-suite qa pt-br,production-ready,commercial,2026-02-23T04:59:32.955885Z,1.0000,ok
+646,"Theme: travel classification regression-suite qa pt-br; Domain: classification; 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: 646-181611.",travel classification regression-suite qa pt-br,minimal,commercial,2026-02-23T04:59:32.955885Z,1.0000,ok
+647,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; Persona: ml engineer; Task: robustness-check; Format: qa; Language: PT_BR; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 647-707585.",travel classification regression-suite qa pt-br,stylized,commercial,2026-02-23T04:59:32.955885Z,1.0000,ok
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+650,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; Persona: platform engineer; Task: grounding-check; Format: qa; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 650-669236.",travel classification regression-suite qa pt-br,stylized,consistent,2026-02-23T04:59:32.955885Z,1.0000,ok
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+673,"Theme: travel classification regression-suite qa pt-br; Domain: classification-qa; 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: 673-402006.",travel classification regression-suite qa pt-br,cinematic,benchmark-grade,2026-02-23T04:59:32.955885Z,1.0000,ok
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+677,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; Persona: platform engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 677-108001.",travel classification regression-suite qa pt-br,stylized,premium,2026-02-23T04:59:32.955885Z,1.0000,ok
+678,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; 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: 678-788008.",travel classification regression-suite qa pt-br,cinematic,benchmark-grade,2026-02-23T04:59:32.955885Z,1.0000,ok
+679,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 679-148965.",travel classification regression-suite qa pt-br,stylized,premium,2026-02-23T04:59:32.955885Z,1.0000,ok
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+682,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; Persona: data scientist; Task: quality-check; Format: long-context; Language: PT_BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 682-712304.",travel classification regression-suite qa pt-br,minimal,high-precision,2026-02-23T04:59:32.955885Z,1.0000,ok
+683,"Theme: travel classification regression-suite qa pt-br; Domain: classification-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: 683-259681.",travel classification regression-suite qa pt-br,detailed,benchmark-grade,2026-02-23T04:59:32.955885Z,1.0000,ok
+684,"Theme: travel classification regression-suite qa pt-br; Domain: classification-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: 684-603887.",travel classification regression-suite qa pt-br,production-ready,high-precision,2026-02-23T04:59:32.955885Z,1.0000,ok
+685,"Theme: travel classification regression-suite qa pt-br; Domain: classification-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: 685-188381.",travel classification regression-suite qa pt-br,detailed,commercial,2026-02-23T04:59:32.955885Z,1.0000,ok
+686,"Theme: travel classification regression-suite qa pt-br; Domain: classification-production; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 686-668622.",travel classification regression-suite qa pt-br,minimal,commercial,2026-02-23T04:59:32.955885Z,1.0000,ok
+687,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 687-122095.",travel classification regression-suite qa pt-br,cinematic,high-precision,2026-02-23T04:59:32.955885Z,1.0000,ok
+688,"Theme: travel classification regression-suite qa pt-br; Domain: classification-qa; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 688-622186.",travel classification regression-suite qa pt-br,production-ready,consistent,2026-02-23T04:59:32.955885Z,1.0000,ok
+689,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 689-540360.",travel classification regression-suite qa pt-br,stylized,premium,2026-02-23T04:59:32.955885Z,1.0000,ok
+690,"Theme: travel classification regression-suite qa pt-br; Domain: classification-production; Persona: platform engineer; Task: grounding-check; Format: qa; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 690-124035.",travel classification regression-suite qa pt-br,minimal,high-precision,2026-02-23T04:59:32.955885Z,1.0000,ok
+691,"Theme: travel classification regression-suite qa pt-br; Domain: classification-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: 691-300770.",travel classification regression-suite qa pt-br,minimal,consistent,2026-02-23T04:59:32.955885Z,1.0000,ok
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+693,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 693-406321.",travel classification regression-suite qa pt-br,minimal,premium,2026-02-23T04:59:32.955885Z,1.0000,ok
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+696,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 696-551104.",travel classification regression-suite qa pt-br,production-ready,premium,2026-02-23T04:59:32.955885Z,1.0000,ok
+697,"Theme: travel classification regression-suite qa pt-br; Domain: classification-qa; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 697-757028.",travel classification regression-suite qa pt-br,minimal,benchmark-grade,2026-02-23T04:59:32.955885Z,1.0000,ok
+698,"Theme: travel classification regression-suite qa pt-br; Domain: classification-qa; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 698-878065.",travel classification regression-suite qa pt-br,production-ready,consistent,2026-02-23T04:59:32.955885Z,1.0000,ok
+699,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT_BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 699-899423.",travel classification regression-suite qa pt-br,detailed,high-precision,2026-02-23T04:59:32.955885Z,1.0000,ok
+700,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: PT_BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 700-802700.",travel classification regression-suite qa pt-br,production-ready,benchmark-grade,2026-02-23T04:59:32.955885Z,1.0000,ok
+701,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 701-684688.",travel classification regression-suite qa pt-br,production-ready,consistent,2026-02-23T04:59:32.955885Z,1.0000,ok
+702,"Theme: travel classification regression-suite qa pt-br; Domain: classification-production; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 702-979175.",travel classification regression-suite qa pt-br,production-ready,consistent,2026-02-23T04:59:32.955885Z,1.0000,ok
+703,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: platform engineer; Task: benchmarking; Format: qa; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 703-295166.",travel classification regression-suite qa pt-br,detailed,commercial,2026-02-23T04:59:32.955885Z,1.0000,ok
+704,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 704-687831.",travel classification regression-suite qa pt-br,cinematic,commercial,2026-02-23T04:59:32.955885Z,1.0000,ok
+705,"Theme: travel classification regression-suite qa pt-br; Domain: classification-production; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 705-367239.",travel classification regression-suite qa pt-br,clean,premium,2026-02-23T04:59:32.955885Z,1.0000,ok
+706,"Theme: travel classification regression-suite qa pt-br; Domain: classification-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: 706-855261.",travel classification regression-suite qa pt-br,stylized,benchmark-grade,2026-02-23T04:59:32.955885Z,1.0000,ok
+707,"Theme: travel classification regression-suite qa pt-br; Domain: classification-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: 707-540481.",travel classification regression-suite qa pt-br,production-ready,high-precision,2026-02-23T04:59:32.955885Z,1.0000,ok
+708,"Theme: travel classification regression-suite qa pt-br; Domain: classification-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: 708-177108.",travel classification regression-suite qa pt-br,stylized,commercial,2026-02-23T04:59:32.955885Z,1.0000,ok
+709,"Theme: travel classification regression-suite qa pt-br; Domain: classification-qa; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 709-634231.",travel classification regression-suite qa pt-br,detailed,consistent,2026-02-23T04:59:32.955885Z,1.0000,ok
+710,"Theme: travel classification regression-suite qa pt-br; Domain: classification; 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: 710-581442.",travel classification regression-suite qa pt-br,detailed,consistent,2026-02-23T04:59:32.955885Z,1.0000,ok
+711,"Theme: travel classification regression-suite qa pt-br; Domain: classification-qa; Persona: ml engineer; Task: robustness-check; Format: qa; Language: PT_BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 711-993507.",travel classification regression-suite qa pt-br,production-ready,consistent,2026-02-23T04:59:32.955885Z,1.0000,ok
+712,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: PT_BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 712-475653.",travel classification regression-suite qa pt-br,clean,high-precision,2026-02-23T04:59:32.955885Z,1.0000,ok
+713,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 713-969075.",travel classification regression-suite qa pt-br,stylized,benchmark-grade,2026-02-23T04:59:32.955885Z,1.0000,ok
+714,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 714-889706.",travel classification regression-suite qa pt-br,clean,benchmark-grade,2026-02-23T04:59:32.955885Z,1.0000,ok
+715,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: PT_BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 715-813472.",travel classification regression-suite qa pt-br,cinematic,benchmark-grade,2026-02-23T04:59:32.955885Z,1.0000,ok
+716,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT_BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 716-792227.",travel classification regression-suite qa pt-br,minimal,premium,2026-02-23T04:59:32.955885Z,1.0000,ok
+717,"Theme: travel classification regression-suite qa pt-br; Domain: classification; 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: 717-199427.",travel classification regression-suite qa pt-br,stylized,consistent,2026-02-23T04:59:32.955885Z,1.0000,ok
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+719,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: PT_BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 719-343319.",travel classification regression-suite qa pt-br,stylized,benchmark-grade,2026-02-23T04:59:32.955885Z,1.0000,ok
+720,"Theme: travel classification regression-suite qa pt-br; Domain: classification-qa; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 720-289357.",travel classification regression-suite qa pt-br,stylized,premium,2026-02-23T04:59:32.955885Z,1.0000,ok
+721,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; 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: 721-424714.",travel classification regression-suite qa pt-br,minimal,commercial,2026-02-23T04:59:32.955885Z,1.0000,ok
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+729,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: PT_BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 729-912100.",travel classification regression-suite qa pt-br,cinematic,premium,2026-02-23T04:59:32.955885Z,1.0000,ok
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+736,"Theme: travel classification regression-suite qa pt-br; Domain: classification; 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: 736-223391.",travel classification regression-suite qa pt-br,detailed,benchmark-grade,2026-02-23T04:59:32.955885Z,1.0000,ok
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+738,"Theme: travel classification regression-suite qa pt-br; Domain: classification-production; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 738-374594.",travel classification regression-suite qa pt-br,minimal,premium,2026-02-23T04:59:32.955885Z,1.0000,ok
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+740,"Theme: travel classification regression-suite qa pt-br; Domain: classification-production; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: PT_BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 740-541379.",travel classification regression-suite qa pt-br,clean,premium,2026-02-23T04:59:32.955885Z,1.0000,ok
+741,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; 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: 741-175310.",travel classification regression-suite qa pt-br,clean,commercial,2026-02-23T04:59:32.955885Z,1.0000,ok
+742,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; 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: 742-390924.",travel classification regression-suite qa pt-br,minimal,commercial,2026-02-23T04:59:32.955885Z,1.0000,ok
+743,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 743-903557.",travel classification regression-suite qa pt-br,clean,consistent,2026-02-23T04:59:32.955885Z,1.0000,ok
+744,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 744-884121.",travel classification regression-suite qa pt-br,production-ready,high-precision,2026-02-23T04:59:32.955885Z,1.0000,ok
+745,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: platform engineer; Task: quality-check; Format: qa; Language: PT_BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 745-597962.",travel classification regression-suite qa pt-br,clean,commercial,2026-02-23T04:59:32.955885Z,1.0000,ok
+746,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: ai researcher; Task: robustness-check; Format: qa; Language: PT_BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 746-998579.",travel classification regression-suite qa pt-br,cinematic,high-precision,2026-02-23T04:59:32.955885Z,1.0000,ok
+747,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; Persona: platform engineer; Task: robustness-check; Format: qa; Language: PT_BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 747-304452.",travel classification regression-suite qa pt-br,minimal,high-precision,2026-02-23T04:59:32.955885Z,1.0000,ok
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+749,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 749-403856.",travel classification regression-suite qa pt-br,detailed,commercial,2026-02-23T04:59:32.955885Z,1.0000,ok
+750,"Theme: travel classification regression-suite qa pt-br; Domain: classification-production; 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: 750-804439.",travel classification regression-suite qa pt-br,minimal,benchmark-grade,2026-02-23T04:59:32.955885Z,1.0000,ok
+751,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: PT_BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 751-962734.",travel classification regression-suite qa pt-br,minimal,commercial,2026-02-23T04:59:32.955885Z,1.0000,ok
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+753,"Theme: travel classification regression-suite qa pt-br; Domain: classification-production; Persona: platform engineer; Task: grounding-check; Format: qa; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 753-226936.",travel classification regression-suite qa pt-br,production-ready,benchmark-grade,2026-02-23T04:59:32.955885Z,1.0000,ok
+754,"Theme: travel classification regression-suite qa pt-br; Domain: classification-production; Persona: data scientist; Task: robustness-check; Format: qa; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 754-766603.",travel classification regression-suite qa pt-br,clean,premium,2026-02-23T04:59:32.955885Z,1.0000,ok
+755,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: PT_BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 755-338733.",travel classification regression-suite qa pt-br,clean,high-precision,2026-02-23T04:59:32.955885Z,1.0000,ok
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+757,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; Persona: data scientist; Task: benchmarking; Format: long-context; Language: PT_BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 757-312976.",travel classification regression-suite qa pt-br,production-ready,consistent,2026-02-23T04:59:32.955885Z,1.0000,ok
+758,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 758-837867.",travel classification regression-suite qa pt-br,production-ready,benchmark-grade,2026-02-23T04:59:32.955885Z,1.0000,ok
+759,"Theme: travel classification regression-suite qa pt-br; Domain: classification-production; Persona: ai researcher; Task: grounding-check; Format: qa; Language: PT_BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 759-838142.",travel classification regression-suite qa pt-br,stylized,benchmark-grade,2026-02-23T04:59:32.955885Z,1.0000,ok
+760,"Theme: travel classification regression-suite qa pt-br; Domain: classification-production; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 760-436509.",travel classification regression-suite qa pt-br,clean,premium,2026-02-23T04:59:32.955885Z,1.0000,ok
+761,"Theme: travel classification regression-suite qa pt-br; Domain: classification-production; Persona: ml engineer; Task: benchmarking; Format: qa; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 761-158116.",travel classification regression-suite qa pt-br,production-ready,benchmark-grade,2026-02-23T04:59:32.955885Z,1.0000,ok
+762,"Theme: travel classification regression-suite qa pt-br; Domain: classification-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: 762-731149.",travel classification regression-suite qa pt-br,stylized,high-precision,2026-02-23T04:59:32.955885Z,1.0000,ok
+763,"Theme: travel classification regression-suite qa pt-br; Domain: classification-production; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 763-433367.",travel classification regression-suite qa pt-br,detailed,benchmark-grade,2026-02-23T04:59:32.955885Z,1.0000,ok
+764,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 764-166652.",travel classification regression-suite qa pt-br,minimal,consistent,2026-02-23T04:59:32.955885Z,1.0000,ok
+765,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 765-521481.",travel classification regression-suite qa pt-br,cinematic,benchmark-grade,2026-02-23T04:59:32.955885Z,1.0000,ok
+766,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 766-748489.",travel classification regression-suite qa pt-br,minimal,commercial,2026-02-23T04:59:32.955885Z,1.0000,ok
+767,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT_BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 767-782821.",travel classification regression-suite qa pt-br,minimal,commercial,2026-02-23T04:59:32.955885Z,1.0000,ok
+768,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT_BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 768-205088.",travel classification regression-suite qa pt-br,production-ready,consistent,2026-02-23T04:59:32.955885Z,1.0000,ok
+769,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; Persona: platform engineer; Task: benchmarking; Format: qa; Language: PT_BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 769-807789.",travel classification regression-suite qa pt-br,detailed,benchmark-grade,2026-02-23T04:59:32.955885Z,1.0000,ok
+770,"Theme: travel classification regression-suite qa pt-br; Domain: classification-production; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 770-385519.",travel classification regression-suite qa pt-br,production-ready,commercial,2026-02-23T04:59:32.955885Z,1.0000,ok
+771,"Theme: travel classification regression-suite qa pt-br; Domain: classification-qa; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 771-523014.",travel classification regression-suite qa pt-br,minimal,premium,2026-02-23T04:59:32.955885Z,1.0000,ok
+772,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: ml engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 772-580348.",travel classification regression-suite qa pt-br,minimal,commercial,2026-02-23T04:59:32.955885Z,1.0000,ok
+773,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 773-700899.",travel classification regression-suite qa pt-br,production-ready,commercial,2026-02-23T04:59:32.955885Z,1.0000,ok
+774,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: PT_BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 774-512023.",travel classification regression-suite qa pt-br,stylized,premium,2026-02-23T04:59:32.955885Z,1.0000,ok
+775,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: PT_BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 775-513141.",travel classification regression-suite qa pt-br,stylized,consistent,2026-02-23T04:59:32.955885Z,1.0000,ok
+776,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; 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: 776-156924.",travel classification regression-suite qa pt-br,production-ready,premium,2026-02-23T04:59:32.955885Z,1.0000,ok
+777,"Theme: travel classification regression-suite qa pt-br; Domain: classification-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: 777-821065.",travel classification regression-suite qa pt-br,stylized,consistent,2026-02-23T04:59:32.955885Z,1.0000,ok
+778,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; Persona: data scientist; Task: grounding-check; Format: qa; Language: PT_BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 778-516875.",travel classification regression-suite qa pt-br,clean,premium,2026-02-23T04:59:32.955885Z,1.0000,ok
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+780,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 780-894367.",travel classification regression-suite qa pt-br,stylized,benchmark-grade,2026-02-23T04:59:32.955885Z,1.0000,ok
+781,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 781-518771.",travel classification regression-suite qa pt-br,production-ready,premium,2026-02-23T04:59:32.955885Z,1.0000,ok
+782,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 782-662786.",travel classification regression-suite qa pt-br,detailed,commercial,2026-02-23T04:59:32.955885Z,1.0000,ok
+783,"Theme: travel classification regression-suite qa pt-br; Domain: classification; 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: 783-877665.",travel classification regression-suite qa pt-br,minimal,benchmark-grade,2026-02-23T04:59:32.955885Z,1.0000,ok
+784,"Theme: travel classification regression-suite qa pt-br; Domain: classification-production; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 784-811104.",travel classification regression-suite qa pt-br,minimal,consistent,2026-02-23T04:59:32.955885Z,1.0000,ok
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+795,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: platform engineer; Task: benchmarking; Format: qa; Language: PT_BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 795-867748.",travel classification regression-suite qa pt-br,production-ready,high-precision,2026-02-23T04:59:32.955885Z,1.0000,ok
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+801,"Theme: travel classification regression-suite qa pt-br; Domain: classification-qa; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 801-587018.",travel classification regression-suite qa pt-br,detailed,consistent,2026-02-23T04:59:32.955885Z,1.0000,ok
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+803,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 803-398710.",travel classification regression-suite qa pt-br,clean,premium,2026-02-23T04:59:32.955885Z,1.0000,ok
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+806,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; Persona: data scientist; Task: grounding-check; Format: long-context; Language: PT_BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 806-582015.",travel classification regression-suite qa pt-br,stylized,consistent,2026-02-23T04:59:32.955885Z,1.0000,ok
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+810,"Theme: travel classification regression-suite qa pt-br; Domain: classification-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: 810-202889.",travel classification regression-suite qa pt-br,clean,benchmark-grade,2026-02-23T04:59:32.955885Z,1.0000,ok
+811,"Theme: travel classification regression-suite qa pt-br; Domain: classification-production; Persona: ai researcher; Task: robustness-check; Format: qa; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 811-972017.",travel classification regression-suite qa pt-br,minimal,consistent,2026-02-23T04:59:32.955885Z,1.0000,ok
+812,"Theme: travel classification regression-suite qa pt-br; Domain: classification; 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: 812-174727.",travel classification regression-suite qa pt-br,cinematic,high-precision,2026-02-23T04:59:32.955885Z,1.0000,ok
+813,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 813-200298.",travel classification regression-suite qa pt-br,production-ready,benchmark-grade,2026-02-23T04:59:32.955885Z,1.0000,ok
+814,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 814-731702.",travel classification regression-suite qa pt-br,detailed,consistent,2026-02-23T04:59:32.955885Z,1.0000,ok
+815,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 815-854288.",travel classification regression-suite qa pt-br,minimal,benchmark-grade,2026-02-23T04:59:32.955885Z,1.0000,ok
+816,"Theme: travel classification regression-suite qa pt-br; Domain: classification; 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: 816-905298.",travel classification regression-suite qa pt-br,minimal,commercial,2026-02-23T04:59:32.955885Z,1.0000,ok
+817,"Theme: travel classification regression-suite qa pt-br; Domain: classification; 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: 817-710215.",travel classification regression-suite qa pt-br,stylized,benchmark-grade,2026-02-23T04:59:32.955885Z,1.0000,ok
+818,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; 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: 818-200970.",travel classification regression-suite qa pt-br,detailed,high-precision,2026-02-23T04:59:32.955885Z,1.0000,ok
+819,"Theme: travel classification regression-suite qa pt-br; Domain: classification-production; 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: 819-894725.",travel classification regression-suite qa pt-br,production-ready,consistent,2026-02-23T04:59:32.955885Z,1.0000,ok
+820,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 820-135044.",travel classification regression-suite qa pt-br,stylized,commercial,2026-02-23T04:59:32.955885Z,1.0000,ok
+821,"Theme: travel classification regression-suite qa pt-br; Domain: classification-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: 821-115747.",travel classification regression-suite qa pt-br,clean,benchmark-grade,2026-02-23T04:59:32.955885Z,1.0000,ok
+822,"Theme: travel classification regression-suite qa pt-br; Domain: classification-production; Persona: data scientist; Task: grounding-check; Format: qa; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 822-530341.",travel classification regression-suite qa pt-br,cinematic,consistent,2026-02-23T04:59:32.955885Z,1.0000,ok
+823,"Theme: travel classification regression-suite qa pt-br; Domain: classification-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: 823-273576.",travel classification regression-suite qa pt-br,detailed,premium,2026-02-23T04:59:32.955885Z,1.0000,ok
+824,"Theme: travel classification regression-suite qa pt-br; Domain: classification-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: 824-436416.",travel classification regression-suite qa pt-br,cinematic,commercial,2026-02-23T04:59:32.955885Z,1.0000,ok
+825,"Theme: travel classification regression-suite qa pt-br; Domain: classification-qa; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 825-549561.",travel classification regression-suite qa pt-br,minimal,consistent,2026-02-23T04:59:32.955885Z,1.0000,ok
+826,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; Persona: ml engineer; Task: grounding-check; Format: qa; Language: PT_BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 826-279909.",travel classification regression-suite qa pt-br,cinematic,benchmark-grade,2026-02-23T04:59:32.955885Z,1.0000,ok
+827,"Theme: travel classification regression-suite qa pt-br; Domain: classification-qa; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 827-739315.",travel classification regression-suite qa pt-br,minimal,consistent,2026-02-23T04:59:32.955885Z,1.0000,ok
+828,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: PT_BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 828-750575.",travel classification regression-suite qa pt-br,cinematic,consistent,2026-02-23T04:59:32.955885Z,1.0000,ok
+829,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 829-226886.",travel classification regression-suite qa pt-br,clean,premium,2026-02-23T04:59:32.955885Z,1.0000,ok
+830,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: ai researcher; Task: quality-check; Format: qa; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 830-102805.",travel classification regression-suite qa pt-br,detailed,premium,2026-02-23T04:59:32.955885Z,1.0000,ok
+831,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT_BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 831-183089.",travel classification regression-suite qa pt-br,production-ready,commercial,2026-02-23T04:59:32.955885Z,1.0000,ok
+832,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: platform engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 832-229987.",travel classification regression-suite qa pt-br,minimal,benchmark-grade,2026-02-23T04:59:32.955885Z,1.0000,ok
+833,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: PT_BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 833-369559.",travel classification regression-suite qa pt-br,production-ready,benchmark-grade,2026-02-23T04:59:32.955885Z,1.0000,ok
+834,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 834-433486.",travel classification regression-suite qa pt-br,detailed,benchmark-grade,2026-02-23T04:59:32.955885Z,1.0000,ok
+835,"Theme: travel classification regression-suite qa pt-br; Domain: classification-production; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 835-242102.",travel classification regression-suite qa pt-br,detailed,benchmark-grade,2026-02-23T04:59:32.955885Z,1.0000,ok
+836,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 836-632847.",travel classification regression-suite qa pt-br,clean,consistent,2026-02-23T04:59:32.955885Z,1.0000,ok
+837,"Theme: travel classification regression-suite qa pt-br; Domain: classification-production; Persona: data scientist; Task: quality-check; Format: qa; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 837-182263.",travel classification regression-suite qa pt-br,minimal,commercial,2026-02-23T04:59:32.955885Z,1.0000,ok
+838,"Theme: travel classification regression-suite qa pt-br; Domain: classification-qa; Persona: ai researcher; Task: quality-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 838-835629.",travel classification regression-suite qa pt-br,minimal,premium,2026-02-23T04:59:32.955885Z,1.0000,ok
+839,"Theme: travel classification regression-suite qa pt-br; Domain: classification-production; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 839-836851.",travel classification regression-suite qa pt-br,detailed,high-precision,2026-02-23T04:59:32.955885Z,1.0000,ok
+840,"Theme: travel classification regression-suite qa pt-br; Domain: classification-qa; Persona: ai researcher; Task: grounding-check; Format: qa; Language: PT_BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 840-118917.",travel classification regression-suite qa pt-br,production-ready,benchmark-grade,2026-02-23T04:59:32.955885Z,1.0000,ok
+841,"Theme: travel classification regression-suite qa pt-br; Domain: classification-production; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: PT_BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 841-532850.",travel classification regression-suite qa pt-br,detailed,high-precision,2026-02-23T04:59:32.955885Z,1.0000,ok
+842,"Theme: travel classification regression-suite qa pt-br; Domain: classification-production; 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: 842-988381.",travel classification regression-suite qa pt-br,minimal,benchmark-grade,2026-02-23T04:59:32.955885Z,1.0000,ok
+843,"Theme: travel classification regression-suite qa pt-br; Domain: classification; 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: 843-776003.",travel classification regression-suite qa pt-br,stylized,benchmark-grade,2026-02-23T04:59:32.955885Z,1.0000,ok
+844,"Theme: travel classification regression-suite qa pt-br; Domain: classification-production; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 844-739473.",travel classification regression-suite qa pt-br,detailed,premium,2026-02-23T04:59:32.955885Z,1.0000,ok
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+875,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 875-897631.",travel classification regression-suite qa pt-br,minimal,consistent,2026-02-23T04:59:32.955885Z,1.0000,ok
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+877,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; 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: 877-502259.",travel classification regression-suite qa pt-br,clean,benchmark-grade,2026-02-23T04:59:32.955885Z,1.0000,ok
+878,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: platform engineer; Task: benchmarking; Format: qa; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 878-694779.",travel classification regression-suite qa pt-br,stylized,benchmark-grade,2026-02-23T04:59:32.955885Z,1.0000,ok
+879,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: ai researcher; Task: grounding-check; Format: qa; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 879-349490.",travel classification regression-suite qa pt-br,detailed,benchmark-grade,2026-02-23T04:59:32.955885Z,1.0000,ok
+880,"Theme: travel classification regression-suite qa pt-br; Domain: classification-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: 880-265496.",travel classification regression-suite qa pt-br,production-ready,commercial,2026-02-23T04:59:32.955885Z,1.0000,ok
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+904,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 904-740907.",travel classification regression-suite qa pt-br,minimal,high-precision,2026-02-23T04:59:32.955885Z,1.0000,ok
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+906,"Theme: travel classification regression-suite qa pt-br; Domain: classification-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: 906-118024.",travel classification regression-suite qa pt-br,detailed,commercial,2026-02-23T04:59:32.955885Z,1.0000,ok
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+912,"Theme: travel classification regression-suite qa pt-br; Domain: classification-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: 912-688740.",travel classification regression-suite qa pt-br,production-ready,premium,2026-02-23T04:59:32.955885Z,1.0000,ok
+913,"Theme: travel classification regression-suite qa pt-br; Domain: classification-production; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT_BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 913-524066.",travel classification regression-suite qa pt-br,stylized,commercial,2026-02-23T04:59:32.955885Z,1.0000,ok
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+946,"Theme: travel classification regression-suite qa pt-br; Domain: classification; 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: 946-648795.",travel classification regression-suite qa pt-br,production-ready,premium,2026-02-23T04:59:32.955885Z,1.0000,ok
+947,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; Persona: data scientist; Task: benchmarking; Format: long-context; Language: PT_BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 947-791142.",travel classification regression-suite qa pt-br,stylized,high-precision,2026-02-23T04:59:32.955885Z,1.0000,ok
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+949,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 949-185836.",travel classification regression-suite qa pt-br,cinematic,consistent,2026-02-23T04:59:32.955885Z,1.0000,ok
+950,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT_BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 950-947383.",travel classification regression-suite qa pt-br,detailed,high-precision,2026-02-23T04:59:32.955885Z,1.0000,ok
+951,"Theme: travel classification regression-suite qa pt-br; Domain: classification-qa; Persona: ai researcher; Task: quality-check; Format: qa; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 951-258524.",travel classification regression-suite qa pt-br,minimal,commercial,2026-02-23T04:59:32.955885Z,1.0000,ok
+952,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 952-554861.",travel classification regression-suite qa pt-br,minimal,high-precision,2026-02-23T04:59:32.955885Z,1.0000,ok
+953,"Theme: travel classification regression-suite qa pt-br; Domain: classification-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: 953-701322.",travel classification regression-suite qa pt-br,stylized,high-precision,2026-02-23T04:59:32.955885Z,1.0000,ok
+954,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 954-730809.",travel classification regression-suite qa pt-br,minimal,commercial,2026-02-23T04:59:32.955885Z,1.0000,ok
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+956,"Theme: travel classification regression-suite qa pt-br; Domain: classification-production; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT_BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 956-281955.",travel classification regression-suite qa pt-br,minimal,commercial,2026-02-23T04:59:32.955885Z,1.0000,ok
+957,"Theme: travel classification regression-suite qa pt-br; Domain: classification-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: 957-316276.",travel classification regression-suite qa pt-br,clean,high-precision,2026-02-23T04:59:32.955885Z,1.0000,ok
+958,"Theme: travel classification regression-suite qa pt-br; Domain: classification-production; Persona: data scientist; Task: benchmarking; Format: qa; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 958-288093.",travel classification regression-suite qa pt-br,detailed,benchmark-grade,2026-02-23T04:59:32.955885Z,1.0000,ok
+959,"Theme: travel classification regression-suite qa pt-br; Domain: classification-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: 959-554856.",travel classification regression-suite qa pt-br,cinematic,benchmark-grade,2026-02-23T04:59:32.955885Z,1.0000,ok
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+961,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 961-930098.",travel classification regression-suite qa pt-br,minimal,consistent,2026-02-23T04:59:32.955885Z,1.0000,ok
+962,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: PT_BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 962-522205.",travel classification regression-suite qa pt-br,detailed,premium,2026-02-23T04:59:32.955885Z,1.0000,ok
+963,"Theme: travel classification regression-suite qa pt-br; Domain: classification-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: 963-359340.",travel classification regression-suite qa pt-br,clean,high-precision,2026-02-23T04:59:32.955885Z,1.0000,ok
+964,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; 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: 964-574049.",travel classification regression-suite qa pt-br,production-ready,benchmark-grade,2026-02-23T04:59:32.955885Z,1.0000,ok
+965,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: data scientist; Task: robustness-check; Format: long-context; Language: PT_BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 965-103942.",travel classification regression-suite qa pt-br,stylized,commercial,2026-02-23T04:59:32.955885Z,1.0000,ok
+966,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: data scientist; Task: quality-check; Format: qa; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 966-879535.",travel classification regression-suite qa pt-br,cinematic,premium,2026-02-23T04:59:32.955885Z,1.0000,ok
+967,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: ai researcher; Task: grounding-check; Format: qa; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 967-489725.",travel classification regression-suite qa pt-br,minimal,commercial,2026-02-23T04:59:32.955885Z,1.0000,ok
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+970,"Theme: travel classification regression-suite qa pt-br; Domain: classification-qa; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 970-783355.",travel classification regression-suite qa pt-br,stylized,high-precision,2026-02-23T04:59:32.955885Z,1.0000,ok
+971,"Theme: travel classification regression-suite qa pt-br; Domain: classification-qa; Persona: data scientist; Task: grounding-check; Format: qa; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 971-643803.",travel classification regression-suite qa pt-br,stylized,commercial,2026-02-23T04:59:32.955885Z,1.0000,ok
+972,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: PT_BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 972-972144.",travel classification regression-suite qa pt-br,stylized,benchmark-grade,2026-02-23T04:59:32.955885Z,1.0000,ok
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+976,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 976-114616.",travel classification regression-suite qa pt-br,minimal,commercial,2026-02-23T04:59:32.955885Z,1.0000,ok
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+1001,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1001-215799.",travel classification regression-suite qa pt-br,production-ready,premium,2026-02-23T04:59:32.955885Z,1.0000,ok
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+1006,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1006-200198.",travel classification regression-suite qa pt-br,clean,consistent,2026-02-23T04:59:32.955885Z,1.0000,ok
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+1008,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1008-934475.",travel classification regression-suite qa pt-br,stylized,consistent,2026-02-23T04:59:32.955885Z,1.0000,ok
+1009,"Theme: travel classification regression-suite qa pt-br; Domain: classification-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: 1009-394224.",travel classification regression-suite qa pt-br,minimal,benchmark-grade,2026-02-23T04:59:32.955885Z,1.0000,ok
+1010,"Theme: travel classification regression-suite qa pt-br; Domain: classification-production; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1010-970984.",travel classification regression-suite qa pt-br,clean,high-precision,2026-02-23T04:59:32.955885Z,1.0000,ok
+1011,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1011-800467.",travel classification regression-suite qa pt-br,production-ready,consistent,2026-02-23T04:59:32.955885Z,1.0000,ok
+1012,"Theme: travel classification regression-suite qa pt-br; Domain: classification-production; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1012-130663.",travel classification regression-suite qa pt-br,minimal,high-precision,2026-02-23T04:59:32.955885Z,1.0000,ok
+1013,"Theme: travel classification regression-suite qa pt-br; Domain: classification-qa; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1013-718495.",travel classification regression-suite qa pt-br,minimal,consistent,2026-02-23T04:59:32.955885Z,1.0000,ok
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+1035,"Theme: travel classification regression-suite qa pt-br; Domain: classification-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: 1035-756448.",travel classification regression-suite qa pt-br,minimal,premium,2026-02-23T04:59:32.955885Z,1.0000,ok
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+1042,"Theme: travel classification regression-suite qa pt-br; Domain: classification-qa; Persona: platform engineer; Task: benchmarking; Format: qa; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1042-345275.",travel classification regression-suite qa pt-br,cinematic,commercial,2026-02-23T04:59:32.955885Z,1.0000,ok
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+1214,"Theme: travel classification regression-suite qa pt-br; Domain: classification-production; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1214-266210.",travel classification regression-suite qa pt-br,production-ready,benchmark-grade,2026-02-23T04:59:32.955885Z,1.0000,ok
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+1233,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1233-587155.",travel classification regression-suite qa pt-br,cinematic,benchmark-grade,2026-02-23T04:59:32.955885Z,1.0000,ok
+1234,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1234-437415.",travel classification regression-suite qa pt-br,stylized,high-precision,2026-02-23T04:59:32.955885Z,1.0000,ok
+1235,"Theme: travel classification regression-suite qa pt-br; Domain: classification-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: 1235-652583.",travel classification regression-suite qa pt-br,stylized,high-precision,2026-02-23T04:59:32.955885Z,1.0000,ok
+1236,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT_BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1236-127617.",travel classification regression-suite qa pt-br,cinematic,premium,2026-02-23T04:59:32.955885Z,1.0000,ok
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+1279,"Theme: travel classification regression-suite qa pt-br; Domain: classification-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: 1279-724156.",travel classification regression-suite qa pt-br,minimal,high-precision,2026-02-23T04:59:32.955885Z,1.0000,ok
+1280,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: data scientist; Task: benchmarking; Format: qa; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1280-152464.",travel classification regression-suite qa pt-br,cinematic,premium,2026-02-23T04:59:32.955885Z,1.0000,ok
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+1414,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; Persona: data scientist; Task: quality-check; Format: qa; Language: PT_BR; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1414-550106.",travel classification regression-suite qa pt-br,stylized,consistent,2026-02-23T04:59:32.955885Z,1.0000,ok
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+1419,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; 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: 1419-191868.",travel classification regression-suite qa pt-br,stylized,benchmark-grade,2026-02-23T04:59:32.955885Z,1.0000,ok
+1420,"Theme: travel classification regression-suite qa pt-br; Domain: classification-qa; Persona: platform engineer; Task: quality-check; Format: qa; Language: PT_BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1420-924221.",travel classification regression-suite qa pt-br,detailed,high-precision,2026-02-23T04:59:32.955885Z,1.0000,ok
+1421,"Theme: travel classification regression-suite qa pt-br; Domain: classification-qa; Persona: ml engineer; Task: robustness-check; Format: qa; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1421-992934.",travel classification regression-suite qa pt-br,detailed,consistent,2026-02-23T04:59:32.955885Z,1.0000,ok
+1422,"Theme: travel classification regression-suite qa pt-br; Domain: classification-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: 1422-657417.",travel classification regression-suite qa pt-br,stylized,benchmark-grade,2026-02-23T04:59:32.955885Z,1.0000,ok
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+1424,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: PT_BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1424-110959.",travel classification regression-suite qa pt-br,clean,consistent,2026-02-23T04:59:32.955885Z,1.0000,ok
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+1426,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT_BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1426-101505.",travel classification regression-suite qa pt-br,stylized,high-precision,2026-02-23T04:59:32.955885Z,1.0000,ok
+1427,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1427-772336.",travel classification regression-suite qa pt-br,detailed,consistent,2026-02-23T04:59:32.955885Z,1.0000,ok
+1428,"Theme: travel classification regression-suite qa pt-br; Domain: classification-production; 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: 1428-805789.",travel classification regression-suite qa pt-br,clean,commercial,2026-02-23T04:59:32.955885Z,1.0000,ok
+1429,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: PT_BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1429-813154.",travel classification regression-suite qa pt-br,clean,consistent,2026-02-23T04:59:32.955885Z,1.0000,ok
+1430,"Theme: travel classification regression-suite qa pt-br; Domain: classification-production; Persona: platform engineer; Task: quality-check; Format: long-context; Language: PT_BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1430-222886.",travel classification regression-suite qa pt-br,minimal,commercial,2026-02-23T04:59:32.955885Z,1.0000,ok
+1431,"Theme: travel classification regression-suite qa pt-br; Domain: classification-production; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1431-578531.",travel classification regression-suite qa pt-br,cinematic,premium,2026-02-23T04:59:32.955885Z,1.0000,ok
+1432,"Theme: travel classification regression-suite qa pt-br; Domain: classification-production; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: PT_BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1432-148922.",travel classification regression-suite qa pt-br,clean,benchmark-grade,2026-02-23T04:59:32.955885Z,1.0000,ok
+1433,"Theme: travel classification regression-suite qa pt-br; Domain: classification-production; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: PT_BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1433-524997.",travel classification regression-suite qa pt-br,cinematic,consistent,2026-02-23T04:59:32.955885Z,1.0000,ok
+1434,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: ml engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1434-219883.",travel classification regression-suite qa pt-br,minimal,benchmark-grade,2026-02-23T04:59:32.955885Z,1.0000,ok
+1435,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; 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: 1435-718022.",travel classification regression-suite qa pt-br,clean,commercial,2026-02-23T04:59:32.955885Z,1.0000,ok
+1436,"Theme: travel classification regression-suite qa pt-br; Domain: classification-qa; Persona: ai researcher; Task: quality-check; Format: qa; Language: PT_BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1436-904937.",travel classification regression-suite qa pt-br,cinematic,premium,2026-02-23T04:59:32.955885Z,1.0000,ok
+1437,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1437-816911.",travel classification regression-suite qa pt-br,clean,consistent,2026-02-23T04:59:32.955885Z,1.0000,ok
+1438,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; 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: 1438-951943.",travel classification regression-suite qa pt-br,clean,benchmark-grade,2026-02-23T04:59:32.955885Z,1.0000,ok
+1439,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1439-160130.",travel classification regression-suite qa pt-br,clean,high-precision,2026-02-23T04:59:32.955885Z,1.0000,ok
+1440,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1440-341881.",travel classification regression-suite qa pt-br,production-ready,high-precision,2026-02-23T04:59:32.955885Z,1.0000,ok
+1441,"Theme: travel classification regression-suite qa pt-br; Domain: classification-qa; Persona: ml engineer; Task: quality-check; Format: qa; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1441-393344.",travel classification regression-suite qa pt-br,minimal,high-precision,2026-02-23T04:59:32.955885Z,1.0000,ok
+1442,"Theme: travel classification regression-suite qa pt-br; Domain: classification-production; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: PT_BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1442-478845.",travel classification regression-suite qa pt-br,stylized,benchmark-grade,2026-02-23T04:59:32.955885Z,1.0000,ok
+1443,"Theme: travel classification regression-suite qa pt-br; Domain: classification-production; Persona: platform engineer; Task: grounding-check; Format: qa; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1443-920538.",travel classification regression-suite qa pt-br,minimal,benchmark-grade,2026-02-23T04:59:32.955885Z,1.0000,ok
+1444,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT_BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1444-874031.",travel classification regression-suite qa pt-br,clean,commercial,2026-02-23T04:59:32.955885Z,1.0000,ok
+1445,"Theme: travel classification regression-suite qa pt-br; Domain: classification-production; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1445-723476.",travel classification regression-suite qa pt-br,clean,consistent,2026-02-23T04:59:32.955885Z,1.0000,ok
+1446,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: platform engineer; Task: benchmarking; Format: qa; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1446-173273.",travel classification regression-suite qa pt-br,cinematic,consistent,2026-02-23T04:59:32.955885Z,1.0000,ok
+1447,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: PT_BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1447-974323.",travel classification regression-suite qa pt-br,detailed,high-precision,2026-02-23T04:59:32.955885Z,1.0000,ok
+1448,"Theme: travel classification regression-suite qa pt-br; Domain: classification-production; Persona: ml engineer; Task: robustness-check; Format: qa; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1448-135117.",travel classification regression-suite qa pt-br,cinematic,premium,2026-02-23T04:59:32.955885Z,1.0000,ok
+1449,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT_BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1449-613603.",travel classification regression-suite qa pt-br,detailed,premium,2026-02-23T04:59:32.955885Z,1.0000,ok
+1450,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: data scientist; Task: robustness-check; Format: qa; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1450-986980.",travel classification regression-suite qa pt-br,minimal,high-precision,2026-02-23T04:59:32.955885Z,1.0000,ok
+1451,"Theme: travel classification regression-suite qa pt-br; Domain: classification-qa; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1451-878032.",travel classification regression-suite qa pt-br,cinematic,consistent,2026-02-23T04:59:32.955885Z,1.0000,ok
+1452,"Theme: travel classification regression-suite qa pt-br; Domain: classification-qa; Persona: ai researcher; Task: benchmarking; Format: qa; Language: PT_BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1452-214007.",travel classification regression-suite qa pt-br,clean,premium,2026-02-23T04:59:32.955885Z,1.0000,ok
+1453,"Theme: travel classification regression-suite qa pt-br; Domain: classification-qa; Persona: data scientist; Task: benchmarking; Format: qa; Language: EN-US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1453-336939.",travel classification regression-suite qa pt-br,stylized,consistent,2026-02-23T04:59:32.955885Z,1.0000,ok
+1454,"Theme: travel classification regression-suite qa pt-br; Domain: classification-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: 1454-777130.",travel classification regression-suite qa pt-br,detailed,commercial,2026-02-23T04:59:32.955885Z,1.0000,ok
+1455,"Theme: travel classification regression-suite qa pt-br; Domain: classification-qa; 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: 1455-784936.",travel classification regression-suite qa pt-br,minimal,benchmark-grade,2026-02-23T04:59:32.955885Z,1.0000,ok
+1456,"Theme: travel classification regression-suite qa pt-br; Domain: classification-qa; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1456-734249.",travel classification regression-suite qa pt-br,cinematic,premium,2026-02-23T04:59:32.955885Z,1.0000,ok
+1457,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1457-853695.",travel classification regression-suite qa pt-br,stylized,commercial,2026-02-23T04:59:32.955885Z,1.0000,ok
+1458,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1458-241986.",travel classification regression-suite qa pt-br,clean,benchmark-grade,2026-02-23T04:59:32.955885Z,1.0000,ok
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+1460,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1460-581200.",travel classification regression-suite qa pt-br,cinematic,commercial,2026-02-23T04:59:32.955885Z,1.0000,ok
+1461,"Theme: travel classification regression-suite qa pt-br; Domain: classification-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: 1461-202178.",travel classification regression-suite qa pt-br,production-ready,consistent,2026-02-23T04:59:32.955885Z,1.0000,ok
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+1465,"Theme: travel classification regression-suite qa pt-br; Domain: classification; 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: 1465-713838.",travel classification regression-suite qa pt-br,clean,premium,2026-02-23T04:59:32.955885Z,1.0000,ok
+1466,"Theme: travel classification regression-suite qa pt-br; Domain: classification; 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: 1466-949982.",travel classification regression-suite qa pt-br,cinematic,premium,2026-02-23T04:59:32.955885Z,1.0000,ok
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+1470,"Theme: travel classification regression-suite qa pt-br; Domain: classification-production; Persona: ai researcher; Task: grounding-check; Format: qa; Language: PT_BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1470-963745.",travel classification regression-suite qa pt-br,production-ready,premium,2026-02-23T04:59:32.955885Z,1.0000,ok
+1471,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: ai researcher; Task: quality-check; Format: qa; Language: PT_BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1471-145018.",travel classification regression-suite qa pt-br,detailed,consistent,2026-02-23T04:59:32.955885Z,1.0000,ok
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+1473,"Theme: travel classification regression-suite qa pt-br; Domain: classification; 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: 1473-680456.",travel classification regression-suite qa pt-br,detailed,benchmark-grade,2026-02-23T04:59:32.955885Z,1.0000,ok
+1474,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1474-257186.",travel classification regression-suite qa pt-br,production-ready,benchmark-grade,2026-02-23T04:59:32.955885Z,1.0000,ok
+1475,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1475-666661.",travel classification regression-suite qa pt-br,clean,high-precision,2026-02-23T04:59:32.955885Z,1.0000,ok
+1476,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1476-785886.",travel classification regression-suite qa pt-br,clean,premium,2026-02-23T04:59:32.955885Z,1.0000,ok
+1477,"Theme: travel classification regression-suite qa pt-br; Domain: classification-production; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT_BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1477-921340.",travel classification regression-suite qa pt-br,cinematic,commercial,2026-02-23T04:59:32.955885Z,1.0000,ok
+1478,"Theme: travel classification regression-suite qa pt-br; Domain: classification-qa; Persona: ml engineer; Task: quality-check; Format: qa; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1478-370417.",travel classification regression-suite qa pt-br,stylized,high-precision,2026-02-23T04:59:32.955885Z,1.0000,ok
+1479,"Theme: travel classification regression-suite qa pt-br; Domain: classification; 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: 1479-659100.",travel classification regression-suite qa pt-br,detailed,high-precision,2026-02-23T04:59:32.955885Z,1.0000,ok
+1480,"Theme: travel classification regression-suite qa pt-br; Domain: classification-production; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT_BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1480-196607.",travel classification regression-suite qa pt-br,clean,benchmark-grade,2026-02-23T04:59:32.955885Z,1.0000,ok
+1481,"Theme: travel classification regression-suite qa pt-br; Domain: classification-production; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1481-995800.",travel classification regression-suite qa pt-br,production-ready,premium,2026-02-23T04:59:32.955885Z,1.0000,ok
+1482,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1482-544892.",travel classification regression-suite qa pt-br,detailed,premium,2026-02-23T04:59:32.955885Z,1.0000,ok
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+1500,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: platform engineer; Task: benchmarking; Format: qa; Language: PT_BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1500-838009.",travel classification regression-suite qa pt-br,detailed,high-precision,2026-02-23T04:59:32.955885Z,1.0000,ok
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+1548,"Theme: travel classification regression-suite qa pt-br; Domain: classification-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: 1548-706126.",travel classification regression-suite qa pt-br,detailed,benchmark-grade,2026-02-23T04:59:32.955885Z,1.0000,ok
+1549,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1549-534073.",travel classification regression-suite qa pt-br,stylized,consistent,2026-02-23T04:59:32.955885Z,1.0000,ok
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+1568,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: PT_BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1568-900498.",travel classification regression-suite qa pt-br,cinematic,high-precision,2026-02-23T04:59:32.955885Z,1.0000,ok
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+1615,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; Persona: ai researcher; Task: robustness-check; Format: qa; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1615-348180.",travel classification regression-suite qa pt-br,production-ready,high-precision,2026-02-23T04:59:32.955885Z,1.0000,ok
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+1828,"Theme: travel classification regression-suite qa pt-br; Domain: classification-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: 1828-210061.",travel classification regression-suite qa pt-br,production-ready,consistent,2026-02-23T04:59:32.955885Z,1.0000,ok
+1829,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; 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: 1829-954914.",travel classification regression-suite qa pt-br,cinematic,benchmark-grade,2026-02-23T04:59:32.955885Z,1.0000,ok
+1830,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1830-354255.",travel classification regression-suite qa pt-br,stylized,premium,2026-02-23T04:59:32.955885Z,1.0000,ok
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+1834,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1834-561232.",travel classification regression-suite qa pt-br,production-ready,consistent,2026-02-23T04:59:32.955885Z,1.0000,ok
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+1839,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1839-967142.",travel classification regression-suite qa pt-br,cinematic,high-precision,2026-02-23T04:59:32.955885Z,1.0000,ok
+1840,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; 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: 1840-871622.",travel classification regression-suite qa pt-br,production-ready,benchmark-grade,2026-02-23T04:59:32.955885Z,1.0000,ok
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+1883,"Theme: travel classification regression-suite qa pt-br; Domain: classification-production; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: PT_BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1883-408946.",travel classification regression-suite qa pt-br,cinematic,benchmark-grade,2026-02-23T04:59:32.955885Z,1.0000,ok
+1884,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: platform engineer; Task: quality-check; Format: qa; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1884-938599.",travel classification regression-suite qa pt-br,cinematic,high-precision,2026-02-23T04:59:32.955885Z,1.0000,ok
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+1887,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: PT_BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1887-411494.",travel classification regression-suite qa pt-br,stylized,commercial,2026-02-23T04:59:32.955885Z,1.0000,ok
+1888,"Theme: travel classification regression-suite qa pt-br; Domain: classification-qa; Persona: ml engineer; Task: robustness-check; Format: qa; Language: PT_BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1888-423552.",travel classification regression-suite qa pt-br,minimal,benchmark-grade,2026-02-23T04:59:32.955885Z,1.0000,ok
+1889,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1889-892881.",travel classification regression-suite qa pt-br,clean,commercial,2026-02-23T04:59:32.955885Z,1.0000,ok
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+1891,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; Persona: platform engineer; Task: grounding-check; Format: qa; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1891-391125.",travel classification regression-suite qa pt-br,production-ready,commercial,2026-02-23T04:59:32.955885Z,1.0000,ok
+1892,"Theme: travel classification regression-suite qa pt-br; Domain: classification-qa; 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: 1892-820697.",travel classification regression-suite qa pt-br,cinematic,commercial,2026-02-23T04:59:32.955885Z,1.0000,ok
+1893,"Theme: travel classification regression-suite qa pt-br; Domain: classification-qa; Persona: ai researcher; Task: quality-check; Format: long-context; Language: PT_BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1893-511196.",travel classification regression-suite qa pt-br,minimal,commercial,2026-02-23T04:59:32.955885Z,1.0000,ok
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+1895,"Theme: travel classification regression-suite qa pt-br; Domain: classification-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: 1895-162630.",travel classification regression-suite qa pt-br,production-ready,high-precision,2026-02-23T04:59:32.955885Z,1.0000,ok
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+1898,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1898-693214.",travel classification regression-suite qa pt-br,minimal,high-precision,2026-02-23T04:59:32.955885Z,1.0000,ok
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+1900,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: PT_BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1900-235204.",travel classification regression-suite qa pt-br,minimal,benchmark-grade,2026-02-23T04:59:32.955885Z,1.0000,ok
+1901,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1901-366679.",travel classification regression-suite qa pt-br,production-ready,premium,2026-02-23T04:59:32.955885Z,1.0000,ok
+1902,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1902-220293.",travel classification regression-suite qa pt-br,clean,benchmark-grade,2026-02-23T04:59:32.955885Z,1.0000,ok
+1903,"Theme: travel classification regression-suite qa pt-br; Domain: classification-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: 1903-578575.",travel classification regression-suite qa pt-br,clean,commercial,2026-02-23T04:59:32.955885Z,1.0000,ok
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+1905,"Theme: travel classification regression-suite qa pt-br; Domain: classification-qa; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1905-184158.",travel classification regression-suite qa pt-br,stylized,premium,2026-02-23T04:59:32.955885Z,1.0000,ok
+1906,"Theme: travel classification regression-suite qa pt-br; Domain: classification-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: 1906-655763.",travel classification regression-suite qa pt-br,stylized,premium,2026-02-23T04:59:32.955885Z,1.0000,ok
+1907,"Theme: travel classification regression-suite qa pt-br; Domain: classification-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: 1907-362277.",travel classification regression-suite qa pt-br,minimal,consistent,2026-02-23T04:59:32.955885Z,1.0000,ok
+1908,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: PT_BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1908-206798.",travel classification regression-suite qa pt-br,cinematic,premium,2026-02-23T04:59:32.955885Z,1.0000,ok
+1909,"Theme: travel classification regression-suite qa pt-br; Domain: classification-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: 1909-977759.",travel classification regression-suite qa pt-br,production-ready,high-precision,2026-02-23T04:59:32.955885Z,1.0000,ok
+1910,"Theme: travel classification regression-suite qa pt-br; Domain: classification-production; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1910-872165.",travel classification regression-suite qa pt-br,clean,benchmark-grade,2026-02-23T04:59:32.955885Z,1.0000,ok
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+1912,"Theme: travel classification regression-suite qa pt-br; Domain: classification; 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: 1912-596284.",travel classification regression-suite qa pt-br,detailed,benchmark-grade,2026-02-23T04:59:32.955885Z,1.0000,ok
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+1915,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; 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: 1915-362542.",travel classification regression-suite qa pt-br,cinematic,consistent,2026-02-23T04:59:32.955885Z,1.0000,ok
+1916,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; Persona: ml engineer; Task: quality-check; Format: qa; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1916-472642.",travel classification regression-suite qa pt-br,production-ready,consistent,2026-02-23T04:59:32.955885Z,1.0000,ok
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+1918,"Theme: travel classification regression-suite qa pt-br; Domain: classification-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: 1918-281844.",travel classification regression-suite qa pt-br,stylized,commercial,2026-02-23T04:59:32.955885Z,1.0000,ok
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+1927,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1927-646954.",travel classification regression-suite qa pt-br,detailed,high-precision,2026-02-23T04:59:32.955885Z,1.0000,ok
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+1936,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1936-889996.",travel classification regression-suite qa pt-br,stylized,commercial,2026-02-23T04:59:32.955885Z,1.0000,ok
+1937,"Theme: travel classification regression-suite qa pt-br; Domain: classification-production; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT_BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1937-910627.",travel classification regression-suite qa pt-br,detailed,consistent,2026-02-23T04:59:32.955885Z,1.0000,ok
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+1939,"Theme: travel classification regression-suite qa pt-br; Domain: classification-qa; Persona: ai researcher; Task: grounding-check; Format: qa; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1939-424478.",travel classification regression-suite qa pt-br,stylized,benchmark-grade,2026-02-23T04:59:32.955885Z,1.0000,ok
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+1943,"Theme: travel classification regression-suite qa pt-br; Domain: classification-production; Persona: platform engineer; Task: robustness-check; Format: qa; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1943-817312.",travel classification regression-suite qa pt-br,production-ready,commercial,2026-02-23T04:59:32.955885Z,1.0000,ok
+1944,"Theme: travel classification regression-suite qa pt-br; Domain: classification-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: 1944-896363.",travel classification regression-suite qa pt-br,production-ready,consistent,2026-02-23T04:59:32.955885Z,1.0000,ok
+1945,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1945-105043.",travel classification regression-suite qa pt-br,production-ready,high-precision,2026-02-23T04:59:32.955885Z,1.0000,ok
+1946,"Theme: travel classification regression-suite qa pt-br; Domain: classification-production; Persona: ml engineer; Task: benchmarking; Format: qa; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1946-643031.",travel classification regression-suite qa pt-br,minimal,consistent,2026-02-23T04:59:32.955885Z,1.0000,ok
+1947,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; Persona: data scientist; Task: quality-check; Format: long-context; Language: PT_BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1947-961900.",travel classification regression-suite qa pt-br,minimal,high-precision,2026-02-23T04:59:32.955885Z,1.0000,ok
+1948,"Theme: travel classification regression-suite qa pt-br; Domain: classification-production; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1948-370684.",travel classification regression-suite qa pt-br,detailed,consistent,2026-02-23T04:59:32.955885Z,1.0000,ok
+1949,"Theme: travel classification regression-suite qa pt-br; Domain: classification-qa; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1949-624540.",travel classification regression-suite qa pt-br,stylized,high-precision,2026-02-23T04:59:32.955885Z,1.0000,ok
+1950,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: PT_BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1950-604811.",travel classification regression-suite qa pt-br,detailed,benchmark-grade,2026-02-23T04:59:32.955885Z,1.0000,ok
+1951,"Theme: travel classification regression-suite qa pt-br; Domain: classification-production; Persona: data scientist; Task: robustness-check; Format: qa; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1951-189097.",travel classification regression-suite qa pt-br,production-ready,consistent,2026-02-23T04:59:32.955885Z,1.0000,ok
+1952,"Theme: travel classification regression-suite qa pt-br; Domain: classification-production; 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: 1952-566880.",travel classification regression-suite qa pt-br,production-ready,consistent,2026-02-23T04:59:32.955885Z,1.0000,ok
+1953,"Theme: travel classification regression-suite qa pt-br; Domain: classification-qa; Persona: ml engineer; Task: grounding-check; Format: qa; Language: PT_BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1953-350637.",travel classification regression-suite qa pt-br,stylized,premium,2026-02-23T04:59:32.955885Z,1.0000,ok
+1954,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; Persona: platform engineer; Task: quality-check; Format: qa; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1954-242226.",travel classification regression-suite qa pt-br,detailed,benchmark-grade,2026-02-23T04:59:32.955885Z,1.0000,ok
+1955,"Theme: travel classification regression-suite qa pt-br; Domain: classification-qa; Persona: ml engineer; Task: benchmarking; Format: qa; Language: PT_BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1955-329511.",travel classification regression-suite qa pt-br,clean,premium,2026-02-23T04:59:32.955885Z,1.0000,ok
+1956,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; Persona: data scientist; Task: benchmarking; Format: qa; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1956-105428.",travel classification regression-suite qa pt-br,production-ready,benchmark-grade,2026-02-23T04:59:32.955885Z,1.0000,ok
+1957,"Theme: travel classification regression-suite qa pt-br; Domain: classification; 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: 1957-563455.",travel classification regression-suite qa pt-br,detailed,commercial,2026-02-23T04:59:32.955885Z,1.0000,ok
+1958,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: ai researcher; Task: quality-check; Format: qa; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1958-738586.",travel classification regression-suite qa pt-br,production-ready,premium,2026-02-23T04:59:32.955885Z,1.0000,ok
+1959,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; Persona: data scientist; Task: robustness-check; Format: qa; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1959-593251.",travel classification regression-suite qa pt-br,clean,benchmark-grade,2026-02-23T04:59:32.955885Z,1.0000,ok
+1960,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1960-555428.",travel classification regression-suite qa pt-br,cinematic,commercial,2026-02-23T04:59:32.955885Z,1.0000,ok
+1961,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT_BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1961-844775.",travel classification regression-suite qa pt-br,clean,high-precision,2026-02-23T04:59:32.955885Z,1.0000,ok
+1962,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: PT_BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1962-947627.",travel classification regression-suite qa pt-br,minimal,commercial,2026-02-23T04:59:32.955885Z,1.0000,ok
+1963,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1963-107366.",travel classification regression-suite qa pt-br,stylized,benchmark-grade,2026-02-23T04:59:32.955885Z,1.0000,ok
+1964,"Theme: travel classification regression-suite qa pt-br; Domain: classification-qa; Persona: ai researcher; Task: grounding-check; Format: qa; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1964-111583.",travel classification regression-suite qa pt-br,cinematic,premium,2026-02-23T04:59:32.955885Z,1.0000,ok
+1965,"Theme: travel classification regression-suite qa pt-br; Domain: classification-qa; Persona: ai researcher; Task: quality-check; Format: long-context; Language: PT_BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1965-973136.",travel classification regression-suite qa pt-br,stylized,premium,2026-02-23T04:59:32.955885Z,1.0000,ok
+1966,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: PT_BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1966-867955.",travel classification regression-suite qa pt-br,stylized,high-precision,2026-02-23T04:59:32.955885Z,1.0000,ok
+1967,"Theme: travel classification regression-suite qa pt-br; Domain: classification-qa; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1967-575299.",travel classification regression-suite qa pt-br,clean,benchmark-grade,2026-02-23T04:59:32.955885Z,1.0000,ok
+1968,"Theme: travel classification regression-suite qa pt-br; Domain: classification-production; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1968-887908.",travel classification regression-suite qa pt-br,minimal,benchmark-grade,2026-02-23T04:59:32.955885Z,1.0000,ok
+1969,"Theme: travel classification regression-suite qa pt-br; Domain: classification-qa; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1969-547350.",travel classification regression-suite qa pt-br,detailed,premium,2026-02-23T04:59:32.955885Z,1.0000,ok
+1970,"Theme: travel classification regression-suite qa pt-br; Domain: classification-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: 1970-920020.",travel classification regression-suite qa pt-br,minimal,consistent,2026-02-23T04:59:32.955885Z,1.0000,ok
+1971,"Theme: travel classification regression-suite qa pt-br; Domain: classification-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: 1971-621759.",travel classification regression-suite qa pt-br,cinematic,consistent,2026-02-23T04:59:32.955885Z,1.0000,ok
+1972,"Theme: travel classification regression-suite qa pt-br; Domain: classification-production; Persona: platform engineer; Task: benchmarking; Format: qa; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1972-954060.",travel classification regression-suite qa pt-br,cinematic,high-precision,2026-02-23T04:59:32.955885Z,1.0000,ok
+1973,"Theme: travel classification regression-suite qa pt-br; Domain: classification; 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: 1973-975640.",travel classification regression-suite qa pt-br,minimal,commercial,2026-02-23T04:59:32.955885Z,1.0000,ok
+1974,"Theme: travel classification regression-suite qa pt-br; Domain: classification-production; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: PT_BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1974-118638.",travel classification regression-suite qa pt-br,minimal,commercial,2026-02-23T04:59:32.955885Z,1.0000,ok
+1975,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1975-711986.",travel classification regression-suite qa pt-br,clean,premium,2026-02-23T04:59:32.955885Z,1.0000,ok
+1976,"Theme: travel classification regression-suite qa pt-br; Domain: classification-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: 1976-946591.",travel classification regression-suite qa pt-br,production-ready,benchmark-grade,2026-02-23T04:59:32.955885Z,1.0000,ok
+1977,"Theme: travel classification regression-suite qa pt-br; Domain: classification-qa; Persona: data scientist; Task: robustness-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1977-135313.",travel classification regression-suite qa pt-br,clean,benchmark-grade,2026-02-23T04:59:32.955885Z,1.0000,ok
+1978,"Theme: travel classification regression-suite qa pt-br; Domain: classification-qa; Persona: platform engineer; Task: quality-check; Format: qa; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1978-251966.",travel classification regression-suite qa pt-br,detailed,premium,2026-02-23T04:59:32.955885Z,1.0000,ok
+1979,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: PT_BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1979-214289.",travel classification regression-suite qa pt-br,detailed,commercial,2026-02-23T04:59:32.955885Z,1.0000,ok
+1980,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; Persona: ai researcher; Task: quality-check; Format: qa; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1980-543030.",travel classification regression-suite qa pt-br,minimal,high-precision,2026-02-23T04:59:32.955885Z,1.0000,ok
+1981,"Theme: travel classification regression-suite qa pt-br; Domain: classification-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: 1981-880765.",travel classification regression-suite qa pt-br,detailed,premium,2026-02-23T04:59:32.955885Z,1.0000,ok
+1982,"Theme: travel classification regression-suite qa pt-br; Domain: classification-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: 1982-375611.",travel classification regression-suite qa pt-br,cinematic,consistent,2026-02-23T04:59:32.955885Z,1.0000,ok
+1983,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: PT_BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1983-688019.",travel classification regression-suite qa pt-br,detailed,consistent,2026-02-23T04:59:32.955885Z,1.0000,ok
+1984,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1984-927872.",travel classification regression-suite qa pt-br,minimal,high-precision,2026-02-23T04:59:32.955885Z,1.0000,ok
+1985,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1985-236593.",travel classification regression-suite qa pt-br,production-ready,premium,2026-02-23T04:59:32.955885Z,1.0000,ok
+1986,"Theme: travel classification regression-suite qa pt-br; Domain: classification-qa; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1986-583292.",travel classification regression-suite qa pt-br,minimal,commercial,2026-02-23T04:59:32.955885Z,1.0000,ok
+1987,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1987-996087.",travel classification regression-suite qa pt-br,detailed,consistent,2026-02-23T04:59:32.955885Z,1.0000,ok
+1988,"Theme: travel classification regression-suite qa pt-br; Domain: classification-production; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1988-769138.",travel classification regression-suite qa pt-br,production-ready,high-precision,2026-02-23T04:59:32.955885Z,1.0000,ok
+1989,"Theme: travel classification regression-suite qa pt-br; Domain: classification-qa; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1989-429762.",travel classification regression-suite qa pt-br,cinematic,premium,2026-02-23T04:59:32.955885Z,1.0000,ok
+1990,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: data scientist; Task: quality-check; Format: long-context; Language: PT_BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1990-494973.",travel classification regression-suite qa pt-br,cinematic,premium,2026-02-23T04:59:32.955885Z,1.0000,ok
+1991,"Theme: travel classification regression-suite qa pt-br; Domain: classification-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: 1991-841039.",travel classification regression-suite qa pt-br,clean,consistent,2026-02-23T04:59:32.955885Z,1.0000,ok
+1992,"Theme: travel classification regression-suite qa pt-br; Domain: classification-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: 1992-557405.",travel classification regression-suite qa pt-br,detailed,benchmark-grade,2026-02-23T04:59:32.955885Z,1.0000,ok
+1993,"Theme: travel classification regression-suite qa pt-br; Domain: classification-qa; Persona: data scientist; Task: robustness-check; Format: qa; Language: PT_BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1993-608007.",travel classification regression-suite qa pt-br,detailed,high-precision,2026-02-23T04:59:32.955885Z,1.0000,ok
+1994,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1994-316658.",travel classification regression-suite qa pt-br,clean,high-precision,2026-02-23T04:59:32.955885Z,1.0000,ok
+1995,"Theme: travel classification regression-suite qa pt-br; Domain: classification-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: 1995-625545.",travel classification regression-suite qa pt-br,stylized,consistent,2026-02-23T04:59:32.955885Z,1.0000,ok
+1996,"Theme: travel classification regression-suite qa pt-br; Domain: classification-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: 1996-998035.",travel classification regression-suite qa pt-br,clean,commercial,2026-02-23T04:59:32.955885Z,1.0000,ok
+1997,"Theme: travel classification regression-suite qa pt-br; Domain: classification-production; Persona: data scientist; Task: benchmarking; Format: long-context; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1997-501953.",travel classification regression-suite qa pt-br,stylized,commercial,2026-02-23T04:59:32.955885Z,1.0000,ok
+1998,"Theme: travel classification regression-suite qa pt-br; Domain: classification-qa; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1998-273369.",travel classification regression-suite qa pt-br,stylized,premium,2026-02-23T04:59:32.955885Z,1.0000,ok
+1999,"Theme: travel classification regression-suite qa pt-br; Domain: classification-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: 1999-996173.",travel classification regression-suite qa pt-br,detailed,benchmark-grade,2026-02-23T04:59:32.955885Z,1.0000,ok
+2000,"Theme: travel classification regression-suite qa pt-br; Domain: classification-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: 2000-756932.",travel classification regression-suite qa pt-br,minimal,benchmark-grade,2026-02-23T04:59:32.955885Z,1.0000,ok
+2001,"Theme: travel classification regression-suite qa pt-br; Domain: classification-production; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: PT_BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2001-467140.",travel classification regression-suite qa pt-br,stylized,high-precision,2026-02-23T04:59:32.955885Z,1.0000,ok
+2002,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2002-198558.",travel classification regression-suite qa pt-br,clean,commercial,2026-02-23T04:59:32.955885Z,1.0000,ok
+2003,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2003-284849.",travel classification regression-suite qa pt-br,minimal,high-precision,2026-02-23T04:59:32.955885Z,1.0000,ok
+2004,"Theme: travel classification regression-suite qa pt-br; Domain: classification-production; Persona: ml engineer; Task: robustness-check; Format: qa; Language: PT_BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2004-687411.",travel classification regression-suite qa pt-br,minimal,benchmark-grade,2026-02-23T04:59:32.955885Z,1.0000,ok
+2005,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2005-359823.",travel classification regression-suite qa pt-br,production-ready,premium,2026-02-23T04:59:32.955885Z,1.0000,ok
+2006,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2006-388418.",travel classification regression-suite qa pt-br,cinematic,commercial,2026-02-23T04:59:32.955885Z,1.0000,ok
+2007,"Theme: travel classification regression-suite qa pt-br; Domain: classification-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: 2007-131841.",travel classification regression-suite qa pt-br,stylized,benchmark-grade,2026-02-23T04:59:32.955885Z,1.0000,ok
+2008,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; 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: 2008-242040.",travel classification regression-suite qa pt-br,clean,high-precision,2026-02-23T04:59:32.955885Z,1.0000,ok
+2009,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: PT_BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2009-240941.",travel classification regression-suite qa pt-br,production-ready,commercial,2026-02-23T04:59:32.955885Z,1.0000,ok
+2010,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: PT_BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2010-598210.",travel classification regression-suite qa pt-br,stylized,commercial,2026-02-23T04:59:32.955885Z,1.0000,ok
+2011,"Theme: travel classification regression-suite qa pt-br; Domain: classification-production; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2011-801791.",travel classification regression-suite qa pt-br,detailed,commercial,2026-02-23T04:59:32.955885Z,1.0000,ok
+2012,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2012-980967.",travel classification regression-suite qa pt-br,production-ready,consistent,2026-02-23T04:59:32.955885Z,1.0000,ok
+2013,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; Persona: data scientist; Task: robustness-check; Format: qa; Language: PT_BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2013-994629.",travel classification regression-suite qa pt-br,stylized,premium,2026-02-23T04:59:32.955885Z,1.0000,ok
+2014,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; Persona: ai researcher; Task: robustness-check; Format: qa; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2014-222003.",travel classification regression-suite qa pt-br,clean,high-precision,2026-02-23T04:59:32.955885Z,1.0000,ok
+2015,"Theme: travel classification regression-suite qa pt-br; Domain: classification; 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: 2015-200062.",travel classification regression-suite qa pt-br,production-ready,commercial,2026-02-23T04:59:32.955885Z,1.0000,ok
+2016,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2016-862067.",travel classification regression-suite qa pt-br,minimal,commercial,2026-02-23T04:59:32.955885Z,1.0000,ok
+2017,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2017-311274.",travel classification regression-suite qa pt-br,clean,benchmark-grade,2026-02-23T04:59:32.955885Z,1.0000,ok
+2018,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; Persona: ml engineer; Task: grounding-check; Format: qa; Language: PT_BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2018-554659.",travel classification regression-suite qa pt-br,minimal,high-precision,2026-02-23T04:59:32.955885Z,1.0000,ok
+2019,"Theme: travel classification regression-suite qa pt-br; Domain: classification-production; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2019-904666.",travel classification regression-suite qa pt-br,production-ready,commercial,2026-02-23T04:59:32.955885Z,1.0000,ok
+2020,"Theme: travel classification regression-suite qa pt-br; Domain: classification-qa; Persona: ai researcher; Task: quality-check; Format: qa; Language: PT_BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2020-542926.",travel classification regression-suite qa pt-br,stylized,premium,2026-02-23T04:59:32.955885Z,1.0000,ok
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+2042,"Theme: travel classification regression-suite qa pt-br; Domain: classification; 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: 2042-584189.",travel classification regression-suite qa pt-br,stylized,commercial,2026-02-23T04:59:32.955885Z,1.0000,ok
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+2152,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: ml engineer; Task: quality-check; Format: long-context; Language: PT_BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2152-104305.",travel classification regression-suite qa pt-br,stylized,consistent,2026-02-23T04:59:32.955885Z,1.0000,ok
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+2173,"Theme: travel classification regression-suite qa pt-br; Domain: classification; 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: 2173-898527.",travel classification regression-suite qa pt-br,clean,benchmark-grade,2026-02-23T04:59:32.955885Z,1.0000,ok
+2174,"Theme: travel classification regression-suite qa pt-br; Domain: classification-production; Persona: data scientist; Task: robustness-check; Format: qa; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2174-970329.",travel classification regression-suite qa pt-br,detailed,consistent,2026-02-23T04:59:32.955885Z,1.0000,ok
+2175,"Theme: travel classification regression-suite qa pt-br; Domain: classification-production; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT_BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2175-761238.",travel classification regression-suite qa pt-br,stylized,consistent,2026-02-23T04:59:32.955885Z,1.0000,ok
+2176,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2176-101068.",travel classification regression-suite qa pt-br,cinematic,benchmark-grade,2026-02-23T04:59:32.955885Z,1.0000,ok
+2177,"Theme: travel classification regression-suite qa pt-br; Domain: classification-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: 2177-429442.",travel classification regression-suite qa pt-br,cinematic,consistent,2026-02-23T04:59:32.955885Z,1.0000,ok
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+2180,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: platform engineer; Task: benchmarking; Format: qa; Language: PT_BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2180-569565.",travel classification regression-suite qa pt-br,minimal,benchmark-grade,2026-02-23T04:59:32.955885Z,1.0000,ok
+2181,"Theme: travel classification regression-suite qa pt-br; Domain: classification-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: 2181-938435.",travel classification regression-suite qa pt-br,cinematic,commercial,2026-02-23T04:59:32.955885Z,1.0000,ok
+2182,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; Persona: ml engineer; Task: grounding-check; Format: qa; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2182-159167.",travel classification regression-suite qa pt-br,clean,commercial,2026-02-23T04:59:32.955885Z,1.0000,ok
+2183,"Theme: travel classification regression-suite qa pt-br; Domain: classification-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: 2183-958649.",travel classification regression-suite qa pt-br,cinematic,premium,2026-02-23T04:59:32.955885Z,1.0000,ok
+2184,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: PT_BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2184-362487.",travel classification regression-suite qa pt-br,cinematic,high-precision,2026-02-23T04:59:32.955885Z,1.0000,ok
+2185,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: PT_BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2185-197659.",travel classification regression-suite qa pt-br,stylized,benchmark-grade,2026-02-23T04:59:32.955885Z,1.0000,ok
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+2216,"Theme: travel classification regression-suite qa pt-br; Domain: classification-production; Persona: platform engineer; Task: grounding-check; Format: qa; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2216-877591.",travel classification regression-suite qa pt-br,clean,commercial,2026-02-23T04:59:32.955885Z,1.0000,ok
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+2218,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: platform engineer; Task: grounding-check; Format: qa; Language: PT_BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2218-963966.",travel classification regression-suite qa pt-br,stylized,premium,2026-02-23T04:59:32.955885Z,1.0000,ok
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+2353,"Theme: travel classification regression-suite qa pt-br; Domain: classification-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: 2353-446166.",travel classification regression-suite qa pt-br,minimal,benchmark-grade,2026-02-23T04:59:32.955885Z,1.0000,ok
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+2372,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: ml engineer; Task: grounding-check; Format: qa; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2372-443531.",travel classification regression-suite qa pt-br,cinematic,benchmark-grade,2026-02-23T04:59:32.955885Z,1.0000,ok
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+2377,"Theme: travel classification regression-suite qa pt-br; Domain: classification-production; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2377-465223.",travel classification regression-suite qa pt-br,clean,consistent,2026-02-23T04:59:32.955885Z,1.0000,ok
+2378,"Theme: travel classification regression-suite qa pt-br; Domain: classification-production; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2378-406812.",travel classification regression-suite qa pt-br,production-ready,commercial,2026-02-23T04:59:32.955885Z,1.0000,ok
+2379,"Theme: travel classification regression-suite qa pt-br; Domain: classification-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: 2379-858645.",travel classification regression-suite qa pt-br,detailed,high-precision,2026-02-23T04:59:32.955885Z,1.0000,ok
+2380,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT_BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2380-350901.",travel classification regression-suite qa pt-br,minimal,benchmark-grade,2026-02-23T04:59:32.955885Z,1.0000,ok
+2381,"Theme: travel classification regression-suite qa pt-br; Domain: classification-production; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2381-684671.",travel classification regression-suite qa pt-br,minimal,consistent,2026-02-23T04:59:32.955885Z,1.0000,ok
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+2414,"Theme: travel classification regression-suite qa pt-br; Domain: classification-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: 2414-459512.",travel classification regression-suite qa pt-br,stylized,commercial,2026-02-23T04:59:32.955885Z,1.0000,ok
+2415,"Theme: travel classification regression-suite qa pt-br; Domain: classification-qa; 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: 2415-674404.",travel classification regression-suite qa pt-br,production-ready,high-precision,2026-02-23T04:59:32.955885Z,1.0000,ok
+2416,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: PT_BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2416-353931.",travel classification regression-suite qa pt-br,cinematic,consistent,2026-02-23T04:59:32.955885Z,1.0000,ok
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+2419,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; Persona: platform engineer; Task: robustness-check; Format: qa; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2419-772260.",travel classification regression-suite qa pt-br,cinematic,premium,2026-02-23T04:59:32.955885Z,1.0000,ok
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+2688,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; Persona: data scientist; Task: benchmarking; Format: qa; Language: PT_BR; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2688-909502.",travel classification regression-suite qa pt-br,detailed,commercial,2026-02-23T04:59:32.955885Z,1.0000,ok
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+2699,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2699-209426.",travel classification regression-suite qa pt-br,cinematic,consistent,2026-02-23T04:59:32.955885Z,1.0000,ok
+2700,"Theme: travel classification regression-suite qa pt-br; Domain: classification-production; Persona: platform engineer; Task: robustness-check; Format: qa; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2700-185642.",travel classification regression-suite qa pt-br,minimal,commercial,2026-02-23T04:59:32.955885Z,1.0000,ok
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+2705,"Theme: travel classification regression-suite qa pt-br; Domain: classification-qa; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2705-131053.",travel classification regression-suite qa pt-br,stylized,high-precision,2026-02-23T04:59:32.955885Z,1.0000,ok
+2706,"Theme: travel classification regression-suite qa pt-br; Domain: classification-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: 2706-180698.",travel classification regression-suite qa pt-br,clean,high-precision,2026-02-23T04:59:32.955885Z,1.0000,ok
+2707,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT_BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2707-497826.",travel classification regression-suite qa pt-br,cinematic,commercial,2026-02-23T04:59:32.955885Z,1.0000,ok
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+2712,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; Persona: platform engineer; Task: benchmarking; Format: qa; Language: EN-US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2712-814252.",travel classification regression-suite qa pt-br,stylized,premium,2026-02-23T04:59:32.955885Z,1.0000,ok
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+2714,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; Persona: ml engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2714-884370.",travel classification regression-suite qa pt-br,stylized,consistent,2026-02-23T04:59:32.955885Z,1.0000,ok
+2715,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: platform engineer; Task: quality-check; Format: qa; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2715-990014.",travel classification regression-suite qa pt-br,cinematic,premium,2026-02-23T04:59:32.955885Z,1.0000,ok
+2716,"Theme: travel classification regression-suite qa pt-br; Domain: classification-qa; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2716-305815.",travel classification regression-suite qa pt-br,stylized,premium,2026-02-23T04:59:32.955885Z,1.0000,ok
+2717,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2717-981119.",travel classification regression-suite qa pt-br,cinematic,consistent,2026-02-23T04:59:32.955885Z,1.0000,ok
+2718,"Theme: travel classification regression-suite qa pt-br; Domain: classification-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: 2718-382893.",travel classification regression-suite qa pt-br,production-ready,high-precision,2026-02-23T04:59:32.955885Z,1.0000,ok
+2719,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; Persona: data scientist; Task: benchmarking; Format: long-context; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2719-330499.",travel classification regression-suite qa pt-br,cinematic,high-precision,2026-02-23T04:59:32.955885Z,1.0000,ok
+2720,"Theme: travel classification regression-suite qa pt-br; Domain: classification-qa; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2720-509343.",travel classification regression-suite qa pt-br,stylized,consistent,2026-02-23T04:59:32.955885Z,1.0000,ok
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+2755,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; 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: 2755-567114.",travel classification regression-suite qa pt-br,production-ready,high-precision,2026-02-23T04:59:32.955885Z,1.0000,ok
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+2837,"Theme: travel classification regression-suite qa pt-br; Domain: classification-qa; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2837-304131.",travel classification regression-suite qa pt-br,detailed,commercial,2026-02-23T04:59:32.955885Z,1.0000,ok
+2838,"Theme: travel classification regression-suite qa pt-br; Domain: classification-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: 2838-661285.",travel classification regression-suite qa pt-br,minimal,premium,2026-02-23T04:59:32.955885Z,1.0000,ok
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+2841,"Theme: travel classification regression-suite qa pt-br; Domain: classification-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: 2841-213154.",travel classification regression-suite qa pt-br,detailed,commercial,2026-02-23T04:59:32.955885Z,1.0000,ok
+2842,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: platform engineer; Task: robustness-check; Format: qa; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2842-781287.",travel classification regression-suite qa pt-br,minimal,benchmark-grade,2026-02-23T04:59:32.955885Z,1.0000,ok
+2843,"Theme: travel classification regression-suite qa pt-br; Domain: classification-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: 2843-723005.",travel classification regression-suite qa pt-br,cinematic,high-precision,2026-02-23T04:59:32.955885Z,1.0000,ok
+2844,"Theme: travel classification regression-suite qa pt-br; Domain: classification-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: 2844-277082.",travel classification regression-suite qa pt-br,production-ready,benchmark-grade,2026-02-23T04:59:32.955885Z,1.0000,ok
+2845,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; 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: 2845-734305.",travel classification regression-suite qa pt-br,minimal,high-precision,2026-02-23T04:59:32.955885Z,1.0000,ok
+2846,"Theme: travel classification regression-suite qa pt-br; Domain: classification-qa; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT_BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2846-442563.",travel classification regression-suite qa pt-br,detailed,consistent,2026-02-23T04:59:32.955885Z,1.0000,ok
+2847,"Theme: travel classification regression-suite qa pt-br; Domain: classification-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: 2847-830426.",travel classification regression-suite qa pt-br,production-ready,benchmark-grade,2026-02-23T04:59:32.955885Z,1.0000,ok
+2848,"Theme: travel classification regression-suite qa pt-br; Domain: classification-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: 2848-645869.",travel classification regression-suite qa pt-br,cinematic,consistent,2026-02-23T04:59:32.955885Z,1.0000,ok
+2849,"Theme: travel classification regression-suite qa pt-br; Domain: classification-production; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2849-379907.",travel classification regression-suite qa pt-br,production-ready,commercial,2026-02-23T04:59:32.955885Z,1.0000,ok
+2850,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: ml engineer; Task: quality-check; Format: long-context; Language: PT_BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2850-832837.",travel classification regression-suite qa pt-br,detailed,benchmark-grade,2026-02-23T04:59:32.955885Z,1.0000,ok
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+2854,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2854-465364.",travel classification regression-suite qa pt-br,minimal,high-precision,2026-02-23T04:59:32.955885Z,1.0000,ok
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+2887,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT_BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2887-490155.",travel classification regression-suite qa pt-br,minimal,consistent,2026-02-23T04:59:32.955885Z,1.0000,ok
+2888,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT_BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2888-786839.",travel classification regression-suite qa pt-br,production-ready,consistent,2026-02-23T04:59:32.955885Z,1.0000,ok
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+2955,"Theme: travel classification regression-suite qa pt-br; Domain: classification-production; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: PT_BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2955-697169.",travel classification regression-suite qa pt-br,clean,benchmark-grade,2026-02-23T04:59:32.955885Z,1.0000,ok
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+3019,"Theme: travel classification regression-suite qa pt-br; Domain: classification-production; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3019-645513.",travel classification regression-suite qa pt-br,clean,premium,2026-02-23T04:59:32.955885Z,1.0000,ok
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+3021,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3021-273966.",travel classification regression-suite qa pt-br,clean,consistent,2026-02-23T04:59:32.955885Z,1.0000,ok
+3022,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; Persona: ml engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3022-238774.",travel classification regression-suite qa pt-br,detailed,premium,2026-02-23T04:59:32.955885Z,1.0000,ok
+3023,"Theme: travel classification regression-suite qa pt-br; Domain: classification-qa; 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: 3023-104540.",travel classification regression-suite qa pt-br,detailed,consistent,2026-02-23T04:59:32.955885Z,1.0000,ok
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+3028,"Theme: travel classification regression-suite qa pt-br; Domain: classification-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: 3028-969801.",travel classification regression-suite qa pt-br,cinematic,benchmark-grade,2026-02-23T04:59:32.955885Z,1.0000,ok
+3029,"Theme: travel classification regression-suite qa pt-br; Domain: classification-qa; Persona: ml engineer; Task: benchmarking; Format: qa; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3029-465920.",travel classification regression-suite qa pt-br,clean,high-precision,2026-02-23T04:59:32.955885Z,1.0000,ok
+3030,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; Persona: data scientist; Task: quality-check; Format: qa; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3030-539161.",travel classification regression-suite qa pt-br,clean,benchmark-grade,2026-02-23T04:59:32.955885Z,1.0000,ok
+3031,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; Persona: ml engineer; Task: robustness-check; Format: qa; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3031-178012.",travel classification regression-suite qa pt-br,minimal,commercial,2026-02-23T04:59:32.955885Z,1.0000,ok
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+3034,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; Persona: data scientist; Task: benchmarking; Format: long-context; Language: PT_BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3034-907980.",travel classification regression-suite qa pt-br,clean,premium,2026-02-23T04:59:32.955885Z,1.0000,ok
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+3036,"Theme: travel classification regression-suite qa pt-br; Domain: classification-production; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: PT_BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3036-893741.",travel classification regression-suite qa pt-br,clean,commercial,2026-02-23T04:59:32.955885Z,1.0000,ok
+3037,"Theme: travel classification regression-suite qa pt-br; Domain: classification-production; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: PT_BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3037-584163.",travel classification regression-suite qa pt-br,production-ready,commercial,2026-02-23T04:59:32.955885Z,1.0000,ok
+3038,"Theme: travel classification regression-suite qa pt-br; Domain: classification-production; Persona: data scientist; Task: benchmarking; Format: long-context; Language: PT_BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3038-153993.",travel classification regression-suite qa pt-br,stylized,benchmark-grade,2026-02-23T04:59:32.955885Z,1.0000,ok
+3039,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3039-566510.",travel classification regression-suite qa pt-br,detailed,premium,2026-02-23T04:59:32.955885Z,1.0000,ok
+3040,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3040-397881.",travel classification regression-suite qa pt-br,cinematic,high-precision,2026-02-23T04:59:32.955885Z,1.0000,ok
+3041,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3041-197159.",travel classification regression-suite qa pt-br,production-ready,high-precision,2026-02-23T04:59:32.955885Z,1.0000,ok
+3042,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3042-750335.",travel classification regression-suite qa pt-br,stylized,commercial,2026-02-23T04:59:32.955885Z,1.0000,ok
+3043,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT_BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3043-427893.",travel classification regression-suite qa pt-br,clean,premium,2026-02-23T04:59:32.955885Z,1.0000,ok
+3044,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3044-806850.",travel classification regression-suite qa pt-br,stylized,benchmark-grade,2026-02-23T04:59:32.955885Z,1.0000,ok
+3045,"Theme: travel classification regression-suite qa pt-br; Domain: classification-qa; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: PT_BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3045-690563.",travel classification regression-suite qa pt-br,detailed,high-precision,2026-02-23T04:59:32.955885Z,1.0000,ok
+3046,"Theme: travel classification regression-suite qa pt-br; Domain: classification-qa; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: PT_BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3046-779468.",travel classification regression-suite qa pt-br,detailed,commercial,2026-02-23T04:59:32.955885Z,1.0000,ok
+3047,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: PT_BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3047-894194.",travel classification regression-suite qa pt-br,detailed,premium,2026-02-23T04:59:32.955885Z,1.0000,ok
+3048,"Theme: travel classification regression-suite qa pt-br; Domain: classification-qa; Persona: ml engineer; Task: robustness-check; Format: qa; Language: PT_BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3048-846883.",travel classification regression-suite qa pt-br,clean,commercial,2026-02-23T04:59:32.955885Z,1.0000,ok
+3049,"Theme: travel classification regression-suite qa pt-br; Domain: classification-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: 3049-509265.",travel classification regression-suite qa pt-br,minimal,benchmark-grade,2026-02-23T04:59:32.955885Z,1.0000,ok
+3050,"Theme: travel classification regression-suite qa pt-br; Domain: classification-production; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT_BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3050-234169.",travel classification regression-suite qa pt-br,production-ready,premium,2026-02-23T04:59:32.955885Z,1.0000,ok
+3051,"Theme: travel classification regression-suite qa pt-br; Domain: classification; 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: 3051-432440.",travel classification regression-suite qa pt-br,production-ready,high-precision,2026-02-23T04:59:32.955885Z,1.0000,ok
+3052,"Theme: travel classification regression-suite qa pt-br; Domain: classification-production; Persona: platform engineer; Task: robustness-check; Format: qa; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3052-220190.",travel classification regression-suite qa pt-br,stylized,consistent,2026-02-23T04:59:32.955885Z,1.0000,ok
+3053,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3053-419586.",travel classification regression-suite qa pt-br,production-ready,consistent,2026-02-23T04:59:32.955885Z,1.0000,ok
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+3065,"Theme: travel classification regression-suite qa pt-br; Domain: classification-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: 3065-466047.",travel classification regression-suite qa pt-br,production-ready,commercial,2026-02-23T04:59:32.955885Z,1.0000,ok
+3066,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT_BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3066-589404.",travel classification regression-suite qa pt-br,clean,high-precision,2026-02-23T04:59:32.955885Z,1.0000,ok
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+3079,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: PT_BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3079-170862.",travel classification regression-suite qa pt-br,minimal,commercial,2026-02-23T04:59:32.955885Z,1.0000,ok
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+3084,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3084-740116.",travel classification regression-suite qa pt-br,detailed,high-precision,2026-02-23T04:59:32.955885Z,1.0000,ok
+3085,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; Persona: ml engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3085-414474.",travel classification regression-suite qa pt-br,clean,high-precision,2026-02-23T04:59:32.955885Z,1.0000,ok
+3086,"Theme: travel classification regression-suite qa pt-br; Domain: classification-qa; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT_BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3086-101801.",travel classification regression-suite qa pt-br,clean,consistent,2026-02-23T04:59:32.955885Z,1.0000,ok
+3087,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; Persona: ml engineer; Task: quality-check; Format: long-context; Language: PT_BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3087-928400.",travel classification regression-suite qa pt-br,production-ready,commercial,2026-02-23T04:59:32.955885Z,1.0000,ok
+3088,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3088-902864.",travel classification regression-suite qa pt-br,clean,benchmark-grade,2026-02-23T04:59:32.955885Z,1.0000,ok
+3089,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; Persona: data scientist; Task: benchmarking; Format: qa; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3089-700329.",travel classification regression-suite qa pt-br,stylized,premium,2026-02-23T04:59:32.955885Z,1.0000,ok
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+3107,"Theme: travel classification regression-suite qa pt-br; Domain: classification-production; 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: 3107-478559.",travel classification regression-suite qa pt-br,detailed,benchmark-grade,2026-02-23T04:59:32.955885Z,1.0000,ok
+3108,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: ai researcher; Task: quality-check; Format: long-context; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3108-669710.",travel classification regression-suite qa pt-br,stylized,consistent,2026-02-23T04:59:32.955885Z,1.0000,ok
+3109,"Theme: travel classification regression-suite qa pt-br; Domain: classification-production; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3109-958634.",travel classification regression-suite qa pt-br,minimal,commercial,2026-02-23T04:59:32.955885Z,1.0000,ok
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+3111,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; Persona: ai researcher; Task: benchmarking; Format: qa; Language: PT_BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3111-991006.",travel classification regression-suite qa pt-br,stylized,high-precision,2026-02-23T04:59:32.955885Z,1.0000,ok
+3112,"Theme: travel classification regression-suite qa pt-br; Domain: classification-qa; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3112-282897.",travel classification regression-suite qa pt-br,clean,consistent,2026-02-23T04:59:32.955885Z,1.0000,ok
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+3114,"Theme: travel classification regression-suite qa pt-br; Domain: classification-qa; Persona: ml engineer; Task: benchmarking; Format: qa; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3114-342948.",travel classification regression-suite qa pt-br,cinematic,premium,2026-02-23T04:59:32.955885Z,1.0000,ok
+3115,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT_BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3115-272979.",travel classification regression-suite qa pt-br,detailed,premium,2026-02-23T04:59:32.955885Z,1.0000,ok
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+3155,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT_BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3155-978884.",travel classification regression-suite qa pt-br,minimal,benchmark-grade,2026-02-23T04:59:32.955885Z,1.0000,ok
+3156,"Theme: travel classification regression-suite qa pt-br; Domain: classification-qa; 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: 3156-997773.",travel classification regression-suite qa pt-br,minimal,commercial,2026-02-23T04:59:32.955885Z,1.0000,ok
+3157,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3157-332232.",travel classification regression-suite qa pt-br,clean,consistent,2026-02-23T04:59:32.955885Z,1.0000,ok
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+3162,"Theme: travel classification regression-suite qa pt-br; Domain: classification-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: 3162-753740.",travel classification regression-suite qa pt-br,stylized,consistent,2026-02-23T04:59:32.955885Z,1.0000,ok
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+3169,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3169-640934.",travel classification regression-suite qa pt-br,clean,commercial,2026-02-23T04:59:32.955885Z,1.0000,ok
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+3173,"Theme: travel classification regression-suite qa pt-br; Domain: classification; 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: 3173-899634.",travel classification regression-suite qa pt-br,production-ready,commercial,2026-02-23T04:59:32.955885Z,1.0000,ok
+3174,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3174-177959.",travel classification regression-suite qa pt-br,stylized,consistent,2026-02-23T04:59:32.955885Z,1.0000,ok
+3175,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3175-620851.",travel classification regression-suite qa pt-br,stylized,high-precision,2026-02-23T04:59:32.955885Z,1.0000,ok
+3176,"Theme: travel classification regression-suite qa pt-br; Domain: classification-qa; Persona: ml engineer; Task: quality-check; Format: long-context; Language: PT_BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3176-675066.",travel classification regression-suite qa pt-br,production-ready,commercial,2026-02-23T04:59:32.955885Z,1.0000,ok
+3177,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3177-442453.",travel classification regression-suite qa pt-br,clean,premium,2026-02-23T04:59:32.955885Z,1.0000,ok
+3178,"Theme: travel classification regression-suite qa pt-br; Domain: classification-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: 3178-805355.",travel classification regression-suite qa pt-br,stylized,commercial,2026-02-23T04:59:32.955885Z,1.0000,ok
+3179,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT_BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3179-504795.",travel classification regression-suite qa pt-br,detailed,premium,2026-02-23T04:59:32.955885Z,1.0000,ok
+3180,"Theme: travel classification regression-suite qa pt-br; Domain: classification-qa; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3180-106306.",travel classification regression-suite qa pt-br,minimal,benchmark-grade,2026-02-23T04:59:32.955885Z,1.0000,ok
+3181,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: platform engineer; Task: quality-check; Format: qa; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3181-852860.",travel classification regression-suite qa pt-br,cinematic,commercial,2026-02-23T04:59:32.955885Z,1.0000,ok
+3182,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: PT_BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3182-176276.",travel classification regression-suite qa pt-br,clean,benchmark-grade,2026-02-23T04:59:32.955885Z,1.0000,ok
+3183,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT_BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3183-886644.",travel classification regression-suite qa pt-br,production-ready,premium,2026-02-23T04:59:32.955885Z,1.0000,ok
+3184,"Theme: travel classification regression-suite qa pt-br; Domain: classification-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: 3184-527649.",travel classification regression-suite qa pt-br,detailed,benchmark-grade,2026-02-23T04:59:32.955885Z,1.0000,ok
+3185,"Theme: travel classification regression-suite qa pt-br; Domain: classification-production; Persona: data scientist; Task: robustness-check; Format: long-context; Language: PT_BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3185-613375.",travel classification regression-suite qa pt-br,detailed,benchmark-grade,2026-02-23T04:59:32.955885Z,1.0000,ok
+3186,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT_BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3186-840079.",travel classification regression-suite qa pt-br,minimal,commercial,2026-02-23T04:59:32.955885Z,1.0000,ok
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+3216,"Theme: travel classification regression-suite qa pt-br; Domain: classification-qa; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3216-481516.",travel classification regression-suite qa pt-br,detailed,commercial,2026-02-23T04:59:32.955885Z,1.0000,ok
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+3218,"Theme: travel classification regression-suite qa pt-br; Domain: classification-production; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: PT_BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3218-228023.",travel classification regression-suite qa pt-br,detailed,high-precision,2026-02-23T04:59:32.955885Z,1.0000,ok
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+3222,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; Persona: platform engineer; Task: quality-check; Format: qa; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3222-842868.",travel classification regression-suite qa pt-br,clean,high-precision,2026-02-23T04:59:32.955885Z,1.0000,ok
+3223,"Theme: travel classification regression-suite qa pt-br; Domain: classification; 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: 3223-936165.",travel classification regression-suite qa pt-br,clean,commercial,2026-02-23T04:59:32.955885Z,1.0000,ok
+3224,"Theme: travel classification regression-suite qa pt-br; Domain: classification-production; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT_BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3224-472334.",travel classification regression-suite qa pt-br,minimal,consistent,2026-02-23T04:59:32.955885Z,1.0000,ok
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+3227,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; 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: 3227-680045.",travel classification regression-suite qa pt-br,cinematic,premium,2026-02-23T04:59:32.955885Z,1.0000,ok
+3228,"Theme: travel classification regression-suite qa pt-br; Domain: classification-qa; Persona: data scientist; Task: grounding-check; Format: qa; Language: PT_BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3228-331910.",travel classification regression-suite qa pt-br,detailed,high-precision,2026-02-23T04:59:32.955885Z,1.0000,ok
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+3235,"Theme: travel classification regression-suite qa pt-br; Domain: classification-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: 3235-660903.",travel classification regression-suite qa pt-br,clean,premium,2026-02-23T04:59:32.955885Z,1.0000,ok
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+3238,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: PT_BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3238-625674.",travel classification regression-suite qa pt-br,production-ready,premium,2026-02-23T04:59:32.955885Z,1.0000,ok
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+3241,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3241-842521.",travel classification regression-suite qa pt-br,minimal,high-precision,2026-02-23T04:59:32.955885Z,1.0000,ok
+3242,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3242-253264.",travel classification regression-suite qa pt-br,stylized,consistent,2026-02-23T04:59:32.955885Z,1.0000,ok
+3243,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; 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: 3243-365161.",travel classification regression-suite qa pt-br,production-ready,high-precision,2026-02-23T04:59:32.955885Z,1.0000,ok
+3244,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT_BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3244-473902.",travel classification regression-suite qa pt-br,cinematic,consistent,2026-02-23T04:59:32.955885Z,1.0000,ok
+3245,"Theme: travel classification regression-suite qa pt-br; Domain: classification-production; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3245-446971.",travel classification regression-suite qa pt-br,cinematic,commercial,2026-02-23T04:59:32.955885Z,1.0000,ok
+3246,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3246-506240.",travel classification regression-suite qa pt-br,cinematic,premium,2026-02-23T04:59:32.955885Z,1.0000,ok
+3247,"Theme: travel classification regression-suite qa pt-br; Domain: classification; 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: 3247-953472.",travel classification regression-suite qa pt-br,stylized,consistent,2026-02-23T04:59:32.955885Z,1.0000,ok
+3248,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; Persona: platform engineer; Task: quality-check; Format: qa; Language: PT-BR; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3248-521795.",travel classification regression-suite qa pt-br,minimal,benchmark-grade,2026-02-23T04:59:32.955885Z,1.0000,ok
+3249,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3249-963659.",travel classification regression-suite qa pt-br,minimal,high-precision,2026-02-23T04:59:32.955885Z,1.0000,ok
+3250,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3250-823923.",travel classification regression-suite qa pt-br,clean,consistent,2026-02-23T04:59:32.955885Z,1.0000,ok
+3251,"Theme: travel classification regression-suite qa pt-br; Domain: classification-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: 3251-125300.",travel classification regression-suite qa pt-br,cinematic,premium,2026-02-23T04:59:32.955885Z,1.0000,ok
+3252,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; Persona: platform engineer; Task: quality-check; Format: qa; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3252-326018.",travel classification regression-suite qa pt-br,minimal,commercial,2026-02-23T04:59:32.955885Z,1.0000,ok
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+3256,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3256-469619.",travel classification regression-suite qa pt-br,stylized,high-precision,2026-02-23T04:59:32.955885Z,1.0000,ok
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+3286,"Theme: travel classification regression-suite qa pt-br; Domain: classification-production; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: PT_BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3286-933358.",travel classification regression-suite qa pt-br,clean,commercial,2026-02-23T04:59:32.955885Z,1.0000,ok
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+3290,"Theme: travel classification regression-suite qa pt-br; Domain: classification-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: 3290-947625.",travel classification regression-suite qa pt-br,cinematic,commercial,2026-02-23T04:59:32.955885Z,1.0000,ok
+3291,"Theme: travel classification regression-suite qa pt-br; Domain: classification-production; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT_BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3291-536614.",travel classification regression-suite qa pt-br,clean,benchmark-grade,2026-02-23T04:59:32.955885Z,1.0000,ok
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+3293,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3293-502988.",travel classification regression-suite qa pt-br,stylized,commercial,2026-02-23T04:59:32.955885Z,1.0000,ok
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+3305,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT_BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3305-283580.",travel classification regression-suite qa pt-br,minimal,commercial,2026-02-23T04:59:32.955885Z,1.0000,ok
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+3308,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; 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: 3308-174803.",travel classification regression-suite qa pt-br,production-ready,high-precision,2026-02-23T04:59:32.955885Z,1.0000,ok
+3309,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3309-979476.",travel classification regression-suite qa pt-br,minimal,commercial,2026-02-23T04:59:32.955885Z,1.0000,ok
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+3312,"Theme: travel classification regression-suite qa pt-br; Domain: classification-production; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: PT_BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3312-480843.",travel classification regression-suite qa pt-br,cinematic,benchmark-grade,2026-02-23T04:59:32.955885Z,1.0000,ok
+3313,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; 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: 3313-986341.",travel classification regression-suite qa pt-br,production-ready,high-precision,2026-02-23T04:59:32.955885Z,1.0000,ok
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+3315,"Theme: travel classification regression-suite qa pt-br; Domain: classification-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: 3315-598755.",travel classification regression-suite qa pt-br,stylized,consistent,2026-02-23T04:59:32.955885Z,1.0000,ok
+3316,"Theme: travel classification regression-suite qa pt-br; Domain: classification-production; Persona: platform engineer; Task: benchmarking; Format: qa; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3316-733663.",travel classification regression-suite qa pt-br,cinematic,premium,2026-02-23T04:59:32.955885Z,1.0000,ok
+3317,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT_BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3317-673432.",travel classification regression-suite qa pt-br,detailed,consistent,2026-02-23T04:59:32.955885Z,1.0000,ok
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+3319,"Theme: travel classification regression-suite qa pt-br; Domain: classification-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: 3319-356716.",travel classification regression-suite qa pt-br,clean,high-precision,2026-02-23T04:59:32.955885Z,1.0000,ok
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+3321,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: ml engineer; Task: grounding-check; Format: qa; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3321-269116.",travel classification regression-suite qa pt-br,production-ready,high-precision,2026-02-23T04:59:32.955885Z,1.0000,ok
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+3357,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; 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: 3357-132904.",travel classification regression-suite qa pt-br,production-ready,premium,2026-02-23T04:59:32.955885Z,1.0000,ok
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+3382,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: platform engineer; Task: quality-check; Format: long-context; Language: PT_BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3382-485759.",travel classification regression-suite qa pt-br,detailed,consistent,2026-02-23T04:59:32.955885Z,1.0000,ok
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+3424,"Theme: travel classification regression-suite qa pt-br; Domain: classification-qa; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3424-386985.",travel classification regression-suite qa pt-br,production-ready,high-precision,2026-02-23T04:59:32.955885Z,1.0000,ok
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+3430,"Theme: travel classification regression-suite qa pt-br; Domain: classification-production; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3430-449097.",travel classification regression-suite qa pt-br,minimal,benchmark-grade,2026-02-23T04:59:32.955885Z,1.0000,ok
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+3432,"Theme: travel classification regression-suite qa pt-br; Domain: classification-qa; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT_BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3432-702327.",travel classification regression-suite qa pt-br,stylized,commercial,2026-02-23T04:59:32.955885Z,1.0000,ok
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+3436,"Theme: travel classification regression-suite qa pt-br; Domain: classification-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: 3436-370399.",travel classification regression-suite qa pt-br,cinematic,consistent,2026-02-23T04:59:32.955885Z,1.0000,ok
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+3441,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: PT_BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3441-354223.",travel classification regression-suite qa pt-br,cinematic,benchmark-grade,2026-02-23T04:59:32.955885Z,1.0000,ok
+3442,"Theme: travel classification regression-suite qa pt-br; Domain: classification; 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: 3442-823488.",travel classification regression-suite qa pt-br,stylized,high-precision,2026-02-23T04:59:32.955885Z,1.0000,ok
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+3444,"Theme: travel classification regression-suite qa pt-br; Domain: classification; 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: 3444-393384.",travel classification regression-suite qa pt-br,production-ready,benchmark-grade,2026-02-23T04:59:32.955885Z,1.0000,ok
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+3446,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: platform engineer; Task: grounding-check; Format: qa; Language: PT_BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3446-719188.",travel classification regression-suite qa pt-br,stylized,consistent,2026-02-23T04:59:32.955885Z,1.0000,ok
+3447,"Theme: travel classification regression-suite qa pt-br; Domain: classification-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: 3447-117044.",travel classification regression-suite qa pt-br,clean,premium,2026-02-23T04:59:32.955885Z,1.0000,ok
+3448,"Theme: travel classification regression-suite qa pt-br; Domain: classification-production; Persona: platform engineer; Task: quality-check; Format: qa; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3448-516345.",travel classification regression-suite qa pt-br,minimal,consistent,2026-02-23T04:59:32.955885Z,1.0000,ok
+3449,"Theme: travel classification regression-suite qa pt-br; Domain: classification-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: 3449-115497.",travel classification regression-suite qa pt-br,stylized,benchmark-grade,2026-02-23T04:59:32.955885Z,1.0000,ok
+3450,"Theme: travel classification regression-suite qa pt-br; Domain: classification-production; Persona: ml engineer; Task: benchmarking; Format: qa; Language: PT_BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3450-244006.",travel classification regression-suite qa pt-br,production-ready,premium,2026-02-23T04:59:32.955885Z,1.0000,ok
+3451,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; Persona: platform engineer; Task: benchmarking; Format: qa; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3451-925565.",travel classification regression-suite qa pt-br,stylized,high-precision,2026-02-23T04:59:32.955885Z,1.0000,ok
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+3453,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; 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: 3453-750924.",travel classification regression-suite qa pt-br,minimal,premium,2026-02-23T04:59:32.955885Z,1.0000,ok
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+3455,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; 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: 3455-398742.",travel classification regression-suite qa pt-br,minimal,consistent,2026-02-23T04:59:32.955885Z,1.0000,ok
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+3489,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; Persona: ml engineer; Task: grounding-check; Format: qa; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3489-563161.",travel classification regression-suite qa pt-br,stylized,consistent,2026-02-23T04:59:32.955885Z,1.0000,ok
+3490,"Theme: travel classification regression-suite qa pt-br; Domain: classification-production; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3490-182554.",travel classification regression-suite qa pt-br,minimal,high-precision,2026-02-23T04:59:32.955885Z,1.0000,ok
+3491,"Theme: travel classification regression-suite qa pt-br; Domain: classification; 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: 3491-582688.",travel classification regression-suite qa pt-br,clean,commercial,2026-02-23T04:59:32.955885Z,1.0000,ok
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+3625,"Theme: travel classification regression-suite qa pt-br; Domain: classification-qa; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3625-928959.",travel classification regression-suite qa pt-br,cinematic,premium,2026-02-23T04:59:32.955885Z,1.0000,ok
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+3628,"Theme: travel classification regression-suite qa pt-br; Domain: classification-production; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3628-211509.",travel classification regression-suite qa pt-br,cinematic,premium,2026-02-23T04:59:32.955885Z,1.0000,ok
+3629,"Theme: travel classification regression-suite qa pt-br; Domain: classification-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: 3629-130401.",travel classification regression-suite qa pt-br,production-ready,consistent,2026-02-23T04:59:32.955885Z,1.0000,ok
+3630,"Theme: travel classification regression-suite qa pt-br; Domain: classification-qa; Persona: ai researcher; Task: benchmarking; Format: qa; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3630-139188.",travel classification regression-suite qa pt-br,production-ready,benchmark-grade,2026-02-23T04:59:32.955885Z,1.0000,ok
+3631,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: ai researcher; Task: quality-check; Format: qa; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3631-860933.",travel classification regression-suite qa pt-br,cinematic,high-precision,2026-02-23T04:59:32.955885Z,1.0000,ok
+3632,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: ai researcher; Task: benchmarking; Format: qa; Language: EN-US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3632-286888.",travel classification regression-suite qa pt-br,stylized,consistent,2026-02-23T04:59:32.955885Z,1.0000,ok
+3633,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3633-974549.",travel classification regression-suite qa pt-br,stylized,consistent,2026-02-23T04:59:32.955885Z,1.0000,ok
+3634,"Theme: travel classification regression-suite qa pt-br; Domain: classification-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: 3634-809077.",travel classification regression-suite qa pt-br,detailed,consistent,2026-02-23T04:59:32.955885Z,1.0000,ok
+3635,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3635-833910.",travel classification regression-suite qa pt-br,cinematic,consistent,2026-02-23T04:59:32.955885Z,1.0000,ok
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+3637,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3637-981909.",travel classification regression-suite qa pt-br,production-ready,benchmark-grade,2026-02-23T04:59:32.955885Z,1.0000,ok
+3638,"Theme: travel classification regression-suite qa pt-br; Domain: classification-qa; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: PT_BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3638-967039.",travel classification regression-suite qa pt-br,detailed,commercial,2026-02-23T04:59:32.955885Z,1.0000,ok
+3639,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; Persona: ai researcher; Task: quality-check; Format: qa; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3639-938080.",travel classification regression-suite qa pt-br,stylized,commercial,2026-02-23T04:59:32.955885Z,1.0000,ok
+3640,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3640-571273.",travel classification regression-suite qa pt-br,minimal,premium,2026-02-23T04:59:32.955885Z,1.0000,ok
+3641,"Theme: travel classification regression-suite qa pt-br; Domain: classification-production; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3641-519231.",travel classification regression-suite qa pt-br,stylized,commercial,2026-02-23T04:59:32.955885Z,1.0000,ok
+3642,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT_BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3642-231133.",travel classification regression-suite qa pt-br,clean,premium,2026-02-23T04:59:32.955885Z,1.0000,ok
+3643,"Theme: travel classification regression-suite qa pt-br; Domain: classification-qa; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3643-721863.",travel classification regression-suite qa pt-br,clean,commercial,2026-02-23T04:59:32.955885Z,1.0000,ok
+3644,"Theme: travel classification regression-suite qa pt-br; Domain: classification-production; Persona: ml engineer; Task: quality-check; Format: qa; Language: PT_BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3644-961422.",travel classification regression-suite qa pt-br,cinematic,consistent,2026-02-23T04:59:32.955885Z,1.0000,ok
+3645,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; Persona: platform engineer; Task: robustness-check; Format: qa; Language: PT_BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3645-998665.",travel classification regression-suite qa pt-br,production-ready,premium,2026-02-23T04:59:32.955885Z,1.0000,ok
+3646,"Theme: travel classification regression-suite qa pt-br; Domain: classification-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: 3646-878979.",travel classification regression-suite qa pt-br,cinematic,commercial,2026-02-23T04:59:32.955885Z,1.0000,ok
+3647,"Theme: travel classification regression-suite qa pt-br; Domain: classification-qa; Persona: ml engineer; Task: robustness-check; Format: qa; Language: PT_BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3647-159877.",travel classification regression-suite qa pt-br,detailed,benchmark-grade,2026-02-23T04:59:32.955885Z,1.0000,ok
+3648,"Theme: travel classification regression-suite qa pt-br; Domain: classification-qa; Persona: data scientist; Task: quality-check; Format: qa; Language: PT_BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3648-712408.",travel classification regression-suite qa pt-br,clean,commercial,2026-02-23T04:59:32.955885Z,1.0000,ok
+3649,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; 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: 3649-131696.",travel classification regression-suite qa pt-br,minimal,commercial,2026-02-23T04:59:32.955885Z,1.0000,ok
+3650,"Theme: travel classification regression-suite qa pt-br; Domain: classification; 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: 3650-347180.",travel classification regression-suite qa pt-br,minimal,benchmark-grade,2026-02-23T04:59:32.955885Z,1.0000,ok
+3651,"Theme: travel classification regression-suite qa pt-br; Domain: classification-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: 3651-855301.",travel classification regression-suite qa pt-br,stylized,high-precision,2026-02-23T04:59:32.955885Z,1.0000,ok
+3652,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: PT_BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3652-913927.",travel classification regression-suite qa pt-br,detailed,commercial,2026-02-23T04:59:32.955885Z,1.0000,ok
+3653,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3653-198073.",travel classification regression-suite qa pt-br,production-ready,consistent,2026-02-23T04:59:32.955885Z,1.0000,ok
+3654,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: PT_BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3654-726713.",travel classification regression-suite qa pt-br,production-ready,benchmark-grade,2026-02-23T04:59:32.955885Z,1.0000,ok
+3655,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT_BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3655-361015.",travel classification regression-suite qa pt-br,cinematic,consistent,2026-02-23T04:59:32.955885Z,1.0000,ok
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+3657,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT_BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3657-611207.",travel classification regression-suite qa pt-br,cinematic,high-precision,2026-02-23T04:59:32.955885Z,1.0000,ok
+3658,"Theme: travel classification regression-suite qa pt-br; Domain: classification-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: 3658-137649.",travel classification regression-suite qa pt-br,production-ready,high-precision,2026-02-23T04:59:32.955885Z,1.0000,ok
+3659,"Theme: travel classification regression-suite qa pt-br; Domain: classification-production; Persona: platform engineer; Task: quality-check; Format: qa; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3659-584418.",travel classification regression-suite qa pt-br,cinematic,consistent,2026-02-23T04:59:32.955885Z,1.0000,ok
+3660,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3660-233708.",travel classification regression-suite qa pt-br,production-ready,benchmark-grade,2026-02-23T04:59:32.955885Z,1.0000,ok
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+3685,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3685-817049.",travel classification regression-suite qa pt-br,cinematic,consistent,2026-02-23T04:59:32.955885Z,1.0000,ok
+3686,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; Persona: ml engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3686-296425.",travel classification regression-suite qa pt-br,minimal,consistent,2026-02-23T04:59:32.955885Z,1.0000,ok
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+3690,"Theme: travel classification regression-suite qa pt-br; Domain: classification-production; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: PT_BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3690-606540.",travel classification regression-suite qa pt-br,stylized,consistent,2026-02-23T04:59:32.955885Z,1.0000,ok
+3691,"Theme: travel classification regression-suite qa pt-br; Domain: classification-production; Persona: ai researcher; Task: robustness-check; Format: qa; Language: PT_BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3691-133337.",travel classification regression-suite qa pt-br,production-ready,commercial,2026-02-23T04:59:32.955885Z,1.0000,ok
+3692,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3692-846301.",travel classification regression-suite qa pt-br,stylized,consistent,2026-02-23T04:59:32.955885Z,1.0000,ok
+3693,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3693-616576.",travel classification regression-suite qa pt-br,clean,benchmark-grade,2026-02-23T04:59:32.955885Z,1.0000,ok
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+3704,"Theme: travel classification regression-suite qa pt-br; Domain: classification-production; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3704-360329.",travel classification regression-suite qa pt-br,clean,premium,2026-02-23T04:59:32.955885Z,1.0000,ok
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+3711,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; Persona: data scientist; Task: grounding-check; Format: qa; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3711-463749.",travel classification regression-suite qa pt-br,clean,high-precision,2026-02-23T04:59:32.955885Z,1.0000,ok
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+3713,"Theme: travel classification regression-suite qa pt-br; Domain: classification-qa; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: PT_BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3713-459393.",travel classification regression-suite qa pt-br,production-ready,benchmark-grade,2026-02-23T04:59:32.955885Z,1.0000,ok
+3714,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; 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: 3714-488810.",travel classification regression-suite qa pt-br,stylized,high-precision,2026-02-23T04:59:32.955885Z,1.0000,ok
+3715,"Theme: travel classification regression-suite qa pt-br; Domain: classification-qa; Persona: ai researcher; Task: quality-check; Format: qa; Language: PT_BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3715-997931.",travel classification regression-suite qa pt-br,minimal,benchmark-grade,2026-02-23T04:59:32.955885Z,1.0000,ok
+3716,"Theme: travel classification regression-suite qa pt-br; Domain: classification-production; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3716-671706.",travel classification regression-suite qa pt-br,production-ready,premium,2026-02-23T04:59:32.955885Z,1.0000,ok
+3717,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3717-593571.",travel classification regression-suite qa pt-br,minimal,benchmark-grade,2026-02-23T04:59:32.955885Z,1.0000,ok
+3718,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; Persona: data scientist; Task: quality-check; Format: qa; Language: PT_BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3718-683520.",travel classification regression-suite qa pt-br,detailed,high-precision,2026-02-23T04:59:32.955885Z,1.0000,ok
+3719,"Theme: travel classification regression-suite qa pt-br; Domain: classification; 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: 3719-178021.",travel classification regression-suite qa pt-br,production-ready,consistent,2026-02-23T04:59:32.955885Z,1.0000,ok
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+3721,"Theme: travel classification regression-suite qa pt-br; Domain: classification-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: 3721-779649.",travel classification regression-suite qa pt-br,minimal,commercial,2026-02-23T04:59:32.955885Z,1.0000,ok
+3722,"Theme: travel classification regression-suite qa pt-br; Domain: classification-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: 3722-177944.",travel classification regression-suite qa pt-br,clean,premium,2026-02-23T04:59:32.955885Z,1.0000,ok
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+3725,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT_BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3725-383321.",travel classification regression-suite qa pt-br,stylized,premium,2026-02-23T04:59:32.955885Z,1.0000,ok
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+3728,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; Persona: data scientist; Task: robustness-check; Format: long-context; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3728-582925.",travel classification regression-suite qa pt-br,stylized,premium,2026-02-23T04:59:32.955885Z,1.0000,ok
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+3755,"Theme: travel classification regression-suite qa pt-br; Domain: classification-qa; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3755-156785.",travel classification regression-suite qa pt-br,production-ready,consistent,2026-02-23T04:59:32.955885Z,1.0000,ok
+3756,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; Persona: platform engineer; Task: quality-check; Format: qa; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3756-149253.",travel classification regression-suite qa pt-br,clean,high-precision,2026-02-23T04:59:32.955885Z,1.0000,ok
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+3758,"Theme: travel classification regression-suite qa pt-br; Domain: classification-production; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3758-851232.",travel classification regression-suite qa pt-br,production-ready,commercial,2026-02-23T04:59:32.955885Z,1.0000,ok
+3759,"Theme: travel classification regression-suite qa pt-br; Domain: classification-production; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3759-638118.",travel classification regression-suite qa pt-br,detailed,premium,2026-02-23T04:59:32.955885Z,1.0000,ok
+3760,"Theme: travel classification regression-suite qa pt-br; Domain: classification-qa; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3760-924366.",travel classification regression-suite qa pt-br,detailed,premium,2026-02-23T04:59:32.955885Z,1.0000,ok
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+3766,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: data scientist; Task: benchmarking; Format: long-context; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3766-155548.",travel classification regression-suite qa pt-br,detailed,premium,2026-02-23T04:59:32.955885Z,1.0000,ok
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+3771,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3771-115331.",travel classification regression-suite qa pt-br,cinematic,premium,2026-02-23T04:59:32.955885Z,1.0000,ok
+3772,"Theme: travel classification regression-suite qa pt-br; Domain: classification; 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: 3772-792223.",travel classification regression-suite qa pt-br,production-ready,commercial,2026-02-23T04:59:32.955885Z,1.0000,ok
+3773,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3773-182612.",travel classification regression-suite qa pt-br,detailed,high-precision,2026-02-23T04:59:32.955885Z,1.0000,ok
+3774,"Theme: travel classification regression-suite qa pt-br; Domain: classification-production; Persona: platform engineer; Task: benchmarking; Format: qa; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3774-299509.",travel classification regression-suite qa pt-br,detailed,high-precision,2026-02-23T04:59:32.955885Z,1.0000,ok
+3775,"Theme: travel classification regression-suite qa pt-br; Domain: classification-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: 3775-774742.",travel classification regression-suite qa pt-br,stylized,consistent,2026-02-23T04:59:32.955885Z,1.0000,ok
+3776,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; Persona: ml engineer; Task: benchmarking; Format: qa; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3776-619436.",travel classification regression-suite qa pt-br,stylized,consistent,2026-02-23T04:59:32.955885Z,1.0000,ok
+3777,"Theme: travel classification regression-suite qa pt-br; Domain: classification-qa; Persona: ml engineer; Task: quality-check; Format: qa; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3777-588429.",travel classification regression-suite qa pt-br,detailed,consistent,2026-02-23T04:59:32.955885Z,1.0000,ok
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+3779,"Theme: travel classification regression-suite qa pt-br; Domain: classification-qa; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT_BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3779-303692.",travel classification regression-suite qa pt-br,stylized,commercial,2026-02-23T04:59:32.955885Z,1.0000,ok
+3780,"Theme: travel classification regression-suite qa pt-br; Domain: classification-qa; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3780-488963.",travel classification regression-suite qa pt-br,clean,high-precision,2026-02-23T04:59:32.955885Z,1.0000,ok
+3781,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3781-151939.",travel classification regression-suite qa pt-br,production-ready,high-precision,2026-02-23T04:59:32.955885Z,1.0000,ok
+3782,"Theme: travel classification regression-suite qa pt-br; Domain: classification-production; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3782-246966.",travel classification regression-suite qa pt-br,stylized,high-precision,2026-02-23T04:59:32.955885Z,1.0000,ok
+3783,"Theme: travel classification regression-suite qa pt-br; Domain: classification-qa; Persona: ai researcher; Task: benchmarking; Format: qa; Language: PT_BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3783-503177.",travel classification regression-suite qa pt-br,detailed,commercial,2026-02-23T04:59:32.955885Z,1.0000,ok
+3784,"Theme: travel classification regression-suite qa pt-br; Domain: classification-qa; Persona: ai researcher; Task: robustness-check; Format: qa; Language: PT_BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3784-185763.",travel classification regression-suite qa pt-br,stylized,premium,2026-02-23T04:59:32.955885Z,1.0000,ok
+3785,"Theme: travel classification regression-suite qa pt-br; Domain: classification-production; Persona: data scientist; Task: grounding-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3785-756697.",travel classification regression-suite qa pt-br,clean,consistent,2026-02-23T04:59:32.955885Z,1.0000,ok
+3786,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: PT_BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3786-286015.",travel classification regression-suite qa pt-br,minimal,premium,2026-02-23T04:59:32.955885Z,1.0000,ok
+3787,"Theme: travel classification regression-suite qa pt-br; Domain: classification-production; Persona: ai researcher; Task: benchmarking; Format: qa; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3787-596964.",travel classification regression-suite qa pt-br,clean,premium,2026-02-23T04:59:32.955885Z,1.0000,ok
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+3792,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3792-517053.",travel classification regression-suite qa pt-br,clean,benchmark-grade,2026-02-23T04:59:32.955885Z,1.0000,ok
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+3799,"Theme: travel classification regression-suite qa pt-br; Domain: classification-production; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3799-658938.",travel classification regression-suite qa pt-br,cinematic,benchmark-grade,2026-02-23T04:59:32.955885Z,1.0000,ok
+3800,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; 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: 3800-407925.",travel classification regression-suite qa pt-br,detailed,premium,2026-02-23T04:59:32.955885Z,1.0000,ok
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+3814,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; Persona: ml engineer; Task: robustness-check; Format: qa; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3814-563036.",travel classification regression-suite qa pt-br,stylized,high-precision,2026-02-23T04:59:32.955885Z,1.0000,ok
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+3816,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; 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: 3816-382745.",travel classification regression-suite qa pt-br,stylized,high-precision,2026-02-23T04:59:32.955885Z,1.0000,ok
+3817,"Theme: travel classification regression-suite qa pt-br; Domain: classification-production; Persona: data scientist; Task: quality-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3817-532306.",travel classification regression-suite qa pt-br,minimal,high-precision,2026-02-23T04:59:32.955885Z,1.0000,ok
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+3819,"Theme: travel classification regression-suite qa pt-br; Domain: classification-production; Persona: platform engineer; Task: quality-check; Format: qa; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3819-153872.",travel classification regression-suite qa pt-br,stylized,consistent,2026-02-23T04:59:32.955885Z,1.0000,ok
+3820,"Theme: travel classification regression-suite qa pt-br; Domain: classification-qa; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3820-257508.",travel classification regression-suite qa pt-br,cinematic,premium,2026-02-23T04:59:32.955885Z,1.0000,ok
+3821,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; Persona: data scientist; Task: robustness-check; Format: qa; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3821-720164.",travel classification regression-suite qa pt-br,detailed,commercial,2026-02-23T04:59:32.955885Z,1.0000,ok
+3822,"Theme: travel classification regression-suite qa pt-br; Domain: classification-production; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3822-532116.",travel classification regression-suite qa pt-br,detailed,benchmark-grade,2026-02-23T04:59:32.955885Z,1.0000,ok
+3823,"Theme: travel classification regression-suite qa pt-br; Domain: classification-production; Persona: ml engineer; Task: quality-check; Format: qa; Language: PT_BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3823-494160.",travel classification regression-suite qa pt-br,cinematic,consistent,2026-02-23T04:59:32.955885Z,1.0000,ok
+3824,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3824-850940.",travel classification regression-suite qa pt-br,detailed,high-precision,2026-02-23T04:59:32.955885Z,1.0000,ok
+3825,"Theme: travel classification regression-suite qa pt-br; Domain: classification; 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: 3825-708097.",travel classification regression-suite qa pt-br,stylized,consistent,2026-02-23T04:59:32.955885Z,1.0000,ok
+3826,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3826-575312.",travel classification regression-suite qa pt-br,stylized,commercial,2026-02-23T04:59:32.955885Z,1.0000,ok
+3827,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: ai researcher; Task: robustness-check; Format: qa; Language: PT_BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3827-805234.",travel classification regression-suite qa pt-br,stylized,benchmark-grade,2026-02-23T04:59:32.955885Z,1.0000,ok
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+3829,"Theme: travel classification regression-suite qa pt-br; Domain: classification-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: 3829-803158.",travel classification regression-suite qa pt-br,stylized,commercial,2026-02-23T04:59:32.955885Z,1.0000,ok
+3830,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3830-223769.",travel classification regression-suite qa pt-br,stylized,benchmark-grade,2026-02-23T04:59:32.955885Z,1.0000,ok
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+3833,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3833-466144.",travel classification regression-suite qa pt-br,cinematic,consistent,2026-02-23T04:59:32.955885Z,1.0000,ok
+3834,"Theme: travel classification regression-suite qa pt-br; Domain: classification-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: 3834-648457.",travel classification regression-suite qa pt-br,stylized,commercial,2026-02-23T04:59:32.955885Z,1.0000,ok
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+3836,"Theme: travel classification regression-suite qa pt-br; Domain: classification-production; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: PT_BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3836-436965.",travel classification regression-suite qa pt-br,production-ready,benchmark-grade,2026-02-23T04:59:32.955885Z,1.0000,ok
+3837,"Theme: travel classification regression-suite qa pt-br; Domain: classification-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: 3837-270016.",travel classification regression-suite qa pt-br,stylized,commercial,2026-02-23T04:59:32.955885Z,1.0000,ok
+3838,"Theme: travel classification regression-suite qa pt-br; Domain: classification-production; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: PT_BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3838-381669.",travel classification regression-suite qa pt-br,minimal,benchmark-grade,2026-02-23T04:59:32.955885Z,1.0000,ok
+3839,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; 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: 3839-119438.",travel classification regression-suite qa pt-br,clean,high-precision,2026-02-23T04:59:32.955885Z,1.0000,ok
+3840,"Theme: travel classification regression-suite qa pt-br; Domain: classification-qa; Persona: platform engineer; Task: grounding-check; Format: qa; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3840-684829.",travel classification regression-suite qa pt-br,detailed,premium,2026-02-23T04:59:32.955885Z,1.0000,ok
+3841,"Theme: travel classification regression-suite qa pt-br; Domain: classification-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: 3841-996855.",travel classification regression-suite qa pt-br,cinematic,premium,2026-02-23T04:59:32.955885Z,1.0000,ok
+3842,"Theme: travel classification regression-suite qa pt-br; Domain: classification-production; Persona: ml engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3842-585309.",travel classification regression-suite qa pt-br,minimal,consistent,2026-02-23T04:59:32.955885Z,1.0000,ok
+3843,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3843-236518.",travel classification regression-suite qa pt-br,production-ready,consistent,2026-02-23T04:59:32.955885Z,1.0000,ok
+3844,"Theme: travel classification regression-suite qa pt-br; Domain: classification-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: 3844-979079.",travel classification regression-suite qa pt-br,clean,consistent,2026-02-23T04:59:32.955885Z,1.0000,ok
+3845,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: platform engineer; Task: robustness-check; Format: qa; Language: PT_BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3845-836452.",travel classification regression-suite qa pt-br,cinematic,high-precision,2026-02-23T04:59:32.955885Z,1.0000,ok
+3846,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3846-862869.",travel classification regression-suite qa pt-br,detailed,high-precision,2026-02-23T04:59:32.955885Z,1.0000,ok
+3847,"Theme: travel classification regression-suite qa pt-br; Domain: classification-production; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: PT_BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3847-482823.",travel classification regression-suite qa pt-br,minimal,high-precision,2026-02-23T04:59:32.955885Z,1.0000,ok
+3848,"Theme: travel classification regression-suite qa pt-br; Domain: classification; 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: 3848-728198.",travel classification regression-suite qa pt-br,clean,commercial,2026-02-23T04:59:32.955885Z,1.0000,ok
+3849,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; 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: 3849-712098.",travel classification regression-suite qa pt-br,stylized,consistent,2026-02-23T04:59:32.955885Z,1.0000,ok
+3850,"Theme: travel classification regression-suite qa pt-br; Domain: classification-production; Persona: platform engineer; Task: quality-check; Format: qa; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3850-486033.",travel classification regression-suite qa pt-br,clean,commercial,2026-02-23T04:59:32.955885Z,1.0000,ok
+3851,"Theme: travel classification regression-suite qa pt-br; Domain: classification; 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: 3851-935838.",travel classification regression-suite qa pt-br,clean,benchmark-grade,2026-02-23T04:59:32.955885Z,1.0000,ok
+3852,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: platform engineer; Task: quality-check; Format: qa; Language: EN-US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3852-731608.",travel classification regression-suite qa pt-br,cinematic,consistent,2026-02-23T04:59:32.955885Z,1.0000,ok
+3853,"Theme: travel classification regression-suite qa pt-br; Domain: classification-production; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3853-862844.",travel classification regression-suite qa pt-br,detailed,benchmark-grade,2026-02-23T04:59:32.955885Z,1.0000,ok
+3854,"Theme: travel classification regression-suite qa pt-br; Domain: classification-production; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3854-659102.",travel classification regression-suite qa pt-br,cinematic,commercial,2026-02-23T04:59:32.955885Z,1.0000,ok
+3855,"Theme: travel classification regression-suite qa pt-br; Domain: classification-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: 3855-585464.",travel classification regression-suite qa pt-br,detailed,consistent,2026-02-23T04:59:32.955885Z,1.0000,ok
+3856,"Theme: travel classification regression-suite qa pt-br; Domain: classification; 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: 3856-348845.",travel classification regression-suite qa pt-br,minimal,high-precision,2026-02-23T04:59:32.955885Z,1.0000,ok
+3857,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; Persona: data scientist; Task: robustness-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3857-116391.",travel classification regression-suite qa pt-br,detailed,high-precision,2026-02-23T04:59:32.955885Z,1.0000,ok
+3858,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3858-103572.",travel classification regression-suite qa pt-br,minimal,consistent,2026-02-23T04:59:32.955885Z,1.0000,ok
+3859,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3859-565990.",travel classification regression-suite qa pt-br,production-ready,high-precision,2026-02-23T04:59:32.955885Z,1.0000,ok
+3860,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT_BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3860-624169.",travel classification regression-suite qa pt-br,clean,premium,2026-02-23T04:59:32.955885Z,1.0000,ok
+3861,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3861-736914.",travel classification regression-suite qa pt-br,production-ready,high-precision,2026-02-23T04:59:32.955885Z,1.0000,ok
+3862,"Theme: travel classification regression-suite qa pt-br; Domain: classification-production; Persona: ml engineer; Task: robustness-check; Format: qa; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3862-337952.",travel classification regression-suite qa pt-br,detailed,benchmark-grade,2026-02-23T04:59:32.955885Z,1.0000,ok
+3863,"Theme: travel classification regression-suite qa pt-br; Domain: classification-qa; Persona: data scientist; Task: quality-check; Format: qa; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3863-591728.",travel classification regression-suite qa pt-br,cinematic,consistent,2026-02-23T04:59:32.955885Z,1.0000,ok
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+3871,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; 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: 3871-853354.",travel classification regression-suite qa pt-br,cinematic,premium,2026-02-23T04:59:32.955885Z,1.0000,ok
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+3877,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: platform engineer; Task: grounding-check; Format: qa; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3877-470627.",travel classification regression-suite qa pt-br,minimal,commercial,2026-02-23T04:59:32.955885Z,1.0000,ok
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+3885,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: platform engineer; Task: robustness-check; Format: qa; Language: PT_BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3885-592971.",travel classification regression-suite qa pt-br,cinematic,benchmark-grade,2026-02-23T04:59:32.955885Z,1.0000,ok
+3886,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3886-529436.",travel classification regression-suite qa pt-br,minimal,premium,2026-02-23T04:59:32.955885Z,1.0000,ok
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+3888,"Theme: travel classification regression-suite qa pt-br; Domain: classification-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: 3888-540084.",travel classification regression-suite qa pt-br,minimal,consistent,2026-02-23T04:59:32.955885Z,1.0000,ok
+3889,"Theme: travel classification regression-suite qa pt-br; Domain: classification-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: 3889-860728.",travel classification regression-suite qa pt-br,production-ready,high-precision,2026-02-23T04:59:32.955885Z,1.0000,ok
+3890,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: PT_BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3890-290510.",travel classification regression-suite qa pt-br,minimal,premium,2026-02-23T04:59:32.955885Z,1.0000,ok
+3891,"Theme: travel classification regression-suite qa pt-br; Domain: classification-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: 3891-952643.",travel classification regression-suite qa pt-br,clean,high-precision,2026-02-23T04:59:32.955885Z,1.0000,ok
+3892,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3892-926272.",travel classification regression-suite qa pt-br,minimal,high-precision,2026-02-23T04:59:32.955885Z,1.0000,ok
+3893,"Theme: travel classification regression-suite qa pt-br; Domain: classification-production; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3893-695483.",travel classification regression-suite qa pt-br,clean,premium,2026-02-23T04:59:32.955885Z,1.0000,ok
+3894,"Theme: travel classification regression-suite qa pt-br; Domain: classification-production; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3894-611673.",travel classification regression-suite qa pt-br,clean,benchmark-grade,2026-02-23T04:59:32.955885Z,1.0000,ok
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+3897,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; Persona: ai researcher; Task: grounding-check; Format: qa; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3897-481034.",travel classification regression-suite qa pt-br,minimal,commercial,2026-02-23T04:59:32.955885Z,1.0000,ok
+3898,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: ml engineer; Task: quality-check; Format: qa; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3898-661744.",travel classification regression-suite qa pt-br,clean,premium,2026-02-23T04:59:32.955885Z,1.0000,ok
+3899,"Theme: travel classification regression-suite qa pt-br; Domain: classification-production; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3899-611459.",travel classification regression-suite qa pt-br,cinematic,premium,2026-02-23T04:59:32.955885Z,1.0000,ok
+3900,"Theme: travel classification regression-suite qa pt-br; Domain: classification-qa; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3900-967813.",travel classification regression-suite qa pt-br,cinematic,consistent,2026-02-23T04:59:32.955885Z,1.0000,ok
+3901,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: PT_BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3901-304436.",travel classification regression-suite qa pt-br,clean,consistent,2026-02-23T04:59:32.955885Z,1.0000,ok
+3902,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; Persona: ml engineer; Task: quality-check; Format: qa; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3902-501257.",travel classification regression-suite qa pt-br,stylized,benchmark-grade,2026-02-23T04:59:32.955885Z,1.0000,ok
+3903,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3903-817384.",travel classification regression-suite qa pt-br,clean,benchmark-grade,2026-02-23T04:59:32.955885Z,1.0000,ok
+3904,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3904-735836.",travel classification regression-suite qa pt-br,minimal,benchmark-grade,2026-02-23T04:59:32.955885Z,1.0000,ok
+3905,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: data scientist; Task: benchmarking; Format: long-context; Language: PT_BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3905-100381.",travel classification regression-suite qa pt-br,minimal,benchmark-grade,2026-02-23T04:59:32.955885Z,1.0000,ok
+3906,"Theme: travel classification regression-suite qa pt-br; Domain: classification-qa; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT_BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3906-751481.",travel classification regression-suite qa pt-br,stylized,premium,2026-02-23T04:59:32.955885Z,1.0000,ok
+3907,"Theme: travel classification regression-suite qa pt-br; Domain: classification-production; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3907-353921.",travel classification regression-suite qa pt-br,production-ready,commercial,2026-02-23T04:59:32.955885Z,1.0000,ok
+3908,"Theme: travel classification regression-suite qa pt-br; Domain: classification-production; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3908-899392.",travel classification regression-suite qa pt-br,detailed,premium,2026-02-23T04:59:32.955885Z,1.0000,ok
+3909,"Theme: travel classification regression-suite qa pt-br; Domain: classification-production; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: PT_BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3909-488800.",travel classification regression-suite qa pt-br,detailed,premium,2026-02-23T04:59:32.955885Z,1.0000,ok
+3910,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; Persona: ai researcher; Task: grounding-check; Format: qa; Language: PT_BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3910-662706.",travel classification regression-suite qa pt-br,production-ready,consistent,2026-02-23T04:59:32.955885Z,1.0000,ok
+3911,"Theme: travel classification regression-suite qa pt-br; Domain: classification-qa; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3911-559759.",travel classification regression-suite qa pt-br,stylized,consistent,2026-02-23T04:59:32.955885Z,1.0000,ok
+3912,"Theme: travel classification regression-suite qa pt-br; Domain: classification-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: 3912-765954.",travel classification regression-suite qa pt-br,cinematic,high-precision,2026-02-23T04:59:32.955885Z,1.0000,ok
+3913,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3913-212200.",travel classification regression-suite qa pt-br,minimal,premium,2026-02-23T04:59:32.955885Z,1.0000,ok
+3914,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3914-515959.",travel classification regression-suite qa pt-br,detailed,consistent,2026-02-23T04:59:32.955885Z,1.0000,ok
+3915,"Theme: travel classification regression-suite qa pt-br; Domain: classification-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: 3915-133119.",travel classification regression-suite qa pt-br,cinematic,commercial,2026-02-23T04:59:32.955885Z,1.0000,ok
+3916,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT_BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3916-377351.",travel classification regression-suite qa pt-br,stylized,benchmark-grade,2026-02-23T04:59:32.955885Z,1.0000,ok
+3917,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; 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: 3917-454402.",travel classification regression-suite qa pt-br,detailed,high-precision,2026-02-23T04:59:32.955885Z,1.0000,ok
+3918,"Theme: travel classification regression-suite qa pt-br; Domain: classification-production; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: PT_BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3918-501258.",travel classification regression-suite qa pt-br,detailed,high-precision,2026-02-23T04:59:32.955885Z,1.0000,ok
+3919,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3919-824208.",travel classification regression-suite qa pt-br,clean,premium,2026-02-23T04:59:32.955885Z,1.0000,ok
+3920,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; Persona: platform engineer; Task: grounding-check; Format: qa; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3920-135810.",travel classification regression-suite qa pt-br,detailed,premium,2026-02-23T04:59:32.955885Z,1.0000,ok
+3921,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; Persona: ai researcher; Task: quality-check; Format: qa; Language: PT_BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3921-217679.",travel classification regression-suite qa pt-br,clean,benchmark-grade,2026-02-23T04:59:32.955885Z,1.0000,ok
+3922,"Theme: travel classification regression-suite qa pt-br; Domain: classification-production; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3922-607101.",travel classification regression-suite qa pt-br,production-ready,consistent,2026-02-23T04:59:32.955885Z,1.0000,ok
+3923,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3923-249127.",travel classification regression-suite qa pt-br,minimal,consistent,2026-02-23T04:59:32.955885Z,1.0000,ok
+3924,"Theme: travel classification regression-suite qa pt-br; Domain: classification-qa; Persona: ml engineer; Task: grounding-check; Format: qa; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3924-290789.",travel classification regression-suite qa pt-br,stylized,commercial,2026-02-23T04:59:32.955885Z,1.0000,ok
+3925,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; 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: 3925-775787.",travel classification regression-suite qa pt-br,production-ready,high-precision,2026-02-23T04:59:32.955885Z,1.0000,ok
+3926,"Theme: travel classification regression-suite qa pt-br; Domain: classification-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: 3926-233359.",travel classification regression-suite qa pt-br,production-ready,high-precision,2026-02-23T04:59:32.955885Z,1.0000,ok
+3927,"Theme: travel classification regression-suite qa pt-br; Domain: classification-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: 3927-101498.",travel classification regression-suite qa pt-br,stylized,consistent,2026-02-23T04:59:32.955885Z,1.0000,ok
+3928,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; Persona: ai researcher; Task: benchmarking; Format: qa; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3928-214482.",travel classification regression-suite qa pt-br,minimal,premium,2026-02-23T04:59:32.955885Z,1.0000,ok
+3929,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: PT_BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3929-885182.",travel classification regression-suite qa pt-br,minimal,benchmark-grade,2026-02-23T04:59:32.955885Z,1.0000,ok
+3930,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; Persona: ai researcher; Task: benchmarking; Format: qa; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3930-563672.",travel classification regression-suite qa pt-br,production-ready,benchmark-grade,2026-02-23T04:59:32.955885Z,1.0000,ok
+3931,"Theme: travel classification regression-suite qa pt-br; Domain: classification-production; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3931-840190.",travel classification regression-suite qa pt-br,production-ready,commercial,2026-02-23T04:59:32.955885Z,1.0000,ok
+3932,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; Persona: ai researcher; Task: quality-check; Format: qa; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3932-342981.",travel classification regression-suite qa pt-br,minimal,commercial,2026-02-23T04:59:32.955885Z,1.0000,ok
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+3934,"Theme: travel classification regression-suite qa pt-br; Domain: classification; 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: 3934-653309.",travel classification regression-suite qa pt-br,detailed,commercial,2026-02-23T04:59:32.955885Z,1.0000,ok
+3935,"Theme: travel classification regression-suite qa pt-br; Domain: classification-production; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3935-826394.",travel classification regression-suite qa pt-br,minimal,commercial,2026-02-23T04:59:32.955885Z,1.0000,ok
+3936,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: platform engineer; Task: quality-check; Format: qa; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3936-690366.",travel classification regression-suite qa pt-br,clean,consistent,2026-02-23T04:59:32.955885Z,1.0000,ok
+3937,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; Persona: data scientist; Task: benchmarking; Format: long-context; Language: PT_BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3937-294981.",travel classification regression-suite qa pt-br,cinematic,high-precision,2026-02-23T04:59:32.955885Z,1.0000,ok
+3938,"Theme: travel classification regression-suite qa pt-br; Domain: classification-qa; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3938-518353.",travel classification regression-suite qa pt-br,detailed,consistent,2026-02-23T04:59:32.955885Z,1.0000,ok
+3939,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: PT_BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3939-818521.",travel classification regression-suite qa pt-br,production-ready,high-precision,2026-02-23T04:59:32.955885Z,1.0000,ok
+3940,"Theme: travel classification regression-suite qa pt-br; Domain: classification; 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: 3940-966669.",travel classification regression-suite qa pt-br,clean,benchmark-grade,2026-02-23T04:59:32.955885Z,1.0000,ok
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+3948,"Theme: travel classification regression-suite qa pt-br; Domain: classification-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: 3948-982378.",travel classification regression-suite qa pt-br,production-ready,consistent,2026-02-23T04:59:32.955885Z,1.0000,ok
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+3950,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3950-789027.",travel classification regression-suite qa pt-br,stylized,premium,2026-02-23T04:59:32.955885Z,1.0000,ok
+3951,"Theme: travel classification regression-suite qa pt-br; Domain: classification-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: 3951-131321.",travel classification regression-suite qa pt-br,clean,benchmark-grade,2026-02-23T04:59:32.955885Z,1.0000,ok
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+3954,"Theme: travel classification regression-suite qa pt-br; Domain: classification-production; Persona: data scientist; Task: robustness-check; Format: qa; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3954-440880.",travel classification regression-suite qa pt-br,minimal,commercial,2026-02-23T04:59:32.955885Z,1.0000,ok
+3955,"Theme: travel classification regression-suite qa pt-br; Domain: classification-production; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3955-291326.",travel classification regression-suite qa pt-br,minimal,high-precision,2026-02-23T04:59:32.955885Z,1.0000,ok
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+3957,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; Persona: ml engineer; Task: quality-check; Format: qa; Language: PT_BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3957-620211.",travel classification regression-suite qa pt-br,production-ready,high-precision,2026-02-23T04:59:32.955885Z,1.0000,ok
+3958,"Theme: travel classification regression-suite qa pt-br; Domain: classification-qa; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: PT_BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3958-886504.",travel classification regression-suite qa pt-br,cinematic,premium,2026-02-23T04:59:32.955885Z,1.0000,ok
+3959,"Theme: travel classification regression-suite qa pt-br; Domain: classification-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: 3959-880218.",travel classification regression-suite qa pt-br,stylized,commercial,2026-02-23T04:59:32.955885Z,1.0000,ok
+3960,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; Persona: ai researcher; Task: grounding-check; Format: qa; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3960-636411.",travel classification regression-suite qa pt-br,cinematic,premium,2026-02-23T04:59:32.955885Z,1.0000,ok
+3961,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: ml engineer; Task: grounding-check; Format: qa; Language: PT_BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3961-781759.",travel classification regression-suite qa pt-br,minimal,high-precision,2026-02-23T04:59:32.955885Z,1.0000,ok
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+3972,"Theme: travel classification regression-suite qa pt-br; Domain: classification-production; Persona: platform engineer; Task: robustness-check; Format: qa; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3972-151041.",travel classification regression-suite qa pt-br,cinematic,high-precision,2026-02-23T04:59:32.955885Z,1.0000,ok
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+3978,"Theme: travel classification regression-suite qa pt-br; Domain: classification-qa; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: PT_BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3978-791459.",travel classification regression-suite qa pt-br,cinematic,high-precision,2026-02-23T04:59:32.955885Z,1.0000,ok
+3979,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3979-685202.",travel classification regression-suite qa pt-br,clean,commercial,2026-02-23T04:59:32.955885Z,1.0000,ok
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+3982,"Theme: travel classification regression-suite qa pt-br; Domain: classification-qa; Persona: platform engineer; Task: benchmarking; Format: qa; Language: PT_BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3982-362367.",travel classification regression-suite qa pt-br,detailed,benchmark-grade,2026-02-23T04:59:32.955885Z,1.0000,ok
+3983,"Theme: travel classification regression-suite qa pt-br; Domain: classification-production; Persona: data scientist; Task: quality-check; Format: qa; Language: PT_BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3983-862512.",travel classification regression-suite qa pt-br,production-ready,high-precision,2026-02-23T04:59:32.955885Z,1.0000,ok
+3984,"Theme: travel classification regression-suite qa pt-br; Domain: classification; 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: 3984-113103.",travel classification regression-suite qa pt-br,minimal,commercial,2026-02-23T04:59:32.955885Z,1.0000,ok
+3985,"Theme: travel classification regression-suite qa pt-br; Domain: classification-qa; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3985-465868.",travel classification regression-suite qa pt-br,stylized,consistent,2026-02-23T04:59:32.955885Z,1.0000,ok
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+3987,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: ai researcher; Task: quality-check; Format: qa; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3987-102081.",travel classification regression-suite qa pt-br,stylized,benchmark-grade,2026-02-23T04:59:32.955885Z,1.0000,ok
+3988,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; 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: 3988-605305.",travel classification regression-suite qa pt-br,minimal,high-precision,2026-02-23T04:59:32.955885Z,1.0000,ok
+3989,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: PT_BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3989-498505.",travel classification regression-suite qa pt-br,stylized,premium,2026-02-23T04:59:32.955885Z,1.0000,ok
+3990,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3990-301920.",travel classification regression-suite qa pt-br,clean,premium,2026-02-23T04:59:32.955885Z,1.0000,ok
+3991,"Theme: travel classification regression-suite qa pt-br; Domain: classification-production; Persona: ml engineer; Task: benchmarking; Format: qa; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3991-951171.",travel classification regression-suite qa pt-br,stylized,commercial,2026-02-23T04:59:32.955885Z,1.0000,ok
+3992,"Theme: travel classification regression-suite qa pt-br; Domain: classification-qa; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT_BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3992-164841.",travel classification regression-suite qa pt-br,production-ready,high-precision,2026-02-23T04:59:32.955885Z,1.0000,ok
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+3994,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; 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: 3994-793928.",travel classification regression-suite qa pt-br,detailed,premium,2026-02-23T04:59:32.955885Z,1.0000,ok
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+4000,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: platform engineer; Task: quality-check; Format: qa; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4000-825249.",travel classification regression-suite qa pt-br,clean,commercial,2026-02-23T04:59:32.955885Z,1.0000,ok
+4001,"Theme: travel classification regression-suite qa pt-br; Domain: classification-production; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: PT_BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4001-656169.",travel classification regression-suite qa pt-br,detailed,commercial,2026-02-23T04:59:32.955885Z,1.0000,ok
+4002,"Theme: travel classification regression-suite qa pt-br; Domain: classification-production; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4002-937700.",travel classification regression-suite qa pt-br,detailed,benchmark-grade,2026-02-23T04:59:32.955885Z,1.0000,ok
+4003,"Theme: travel classification regression-suite qa pt-br; Domain: classification-production; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4003-119466.",travel classification regression-suite qa pt-br,clean,commercial,2026-02-23T04:59:32.955885Z,1.0000,ok
+4004,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; Persona: data scientist; Task: quality-check; Format: qa; Language: PT_BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4004-273632.",travel classification regression-suite qa pt-br,cinematic,high-precision,2026-02-23T04:59:32.955885Z,1.0000,ok
+4005,"Theme: travel classification regression-suite qa pt-br; Domain: classification-production; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4005-815757.",travel classification regression-suite qa pt-br,minimal,premium,2026-02-23T04:59:32.955885Z,1.0000,ok
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+4020,"Theme: travel classification regression-suite qa pt-br; Domain: classification; 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: 4020-917722.",travel classification regression-suite qa pt-br,detailed,premium,2026-02-23T04:59:32.955885Z,1.0000,ok
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+4023,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: ai researcher; Task: grounding-check; Format: qa; Language: PT_BR; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4023-937296.",travel classification regression-suite qa pt-br,clean,benchmark-grade,2026-02-23T04:59:32.955885Z,1.0000,ok
+4024,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: platform engineer; Task: grounding-check; Format: qa; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4024-230513.",travel classification regression-suite qa pt-br,production-ready,consistent,2026-02-23T04:59:32.955885Z,1.0000,ok
+4025,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT_BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4025-392018.",travel classification regression-suite qa pt-br,detailed,consistent,2026-02-23T04:59:32.955885Z,1.0000,ok
+4026,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4026-876353.",travel classification regression-suite qa pt-br,minimal,commercial,2026-02-23T04:59:32.955885Z,1.0000,ok
+4027,"Theme: travel classification regression-suite qa pt-br; Domain: classification-production; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4027-252778.",travel classification regression-suite qa pt-br,production-ready,high-precision,2026-02-23T04:59:32.955885Z,1.0000,ok
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+4043,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: platform engineer; Task: robustness-check; Format: qa; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4043-941135.",travel classification regression-suite qa pt-br,detailed,high-precision,2026-02-23T04:59:32.955885Z,1.0000,ok
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+4048,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT_BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4048-793455.",travel classification regression-suite qa pt-br,stylized,consistent,2026-02-23T04:59:32.955885Z,1.0000,ok
+4049,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: data scientist; Task: quality-check; Format: qa; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4049-990983.",travel classification regression-suite qa pt-br,minimal,commercial,2026-02-23T04:59:32.955885Z,1.0000,ok
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+4053,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4053-882642.",travel classification regression-suite qa pt-br,minimal,commercial,2026-02-23T04:59:32.955885Z,1.0000,ok
+4054,"Theme: travel classification regression-suite qa pt-br; Domain: classification-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: 4054-545253.",travel classification regression-suite qa pt-br,detailed,high-precision,2026-02-23T04:59:32.955885Z,1.0000,ok
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+4059,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; Persona: platform engineer; Task: grounding-check; Format: qa; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4059-646253.",travel classification regression-suite qa pt-br,clean,benchmark-grade,2026-02-23T04:59:32.955885Z,1.0000,ok
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+4064,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4064-370472.",travel classification regression-suite qa pt-br,stylized,consistent,2026-02-23T04:59:32.955885Z,1.0000,ok
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+4091,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4091-787712.",travel classification regression-suite qa pt-br,minimal,consistent,2026-02-23T04:59:32.955885Z,1.0000,ok
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+4093,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; Persona: ml engineer; Task: benchmarking; Format: qa; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4093-376130.",travel classification regression-suite qa pt-br,production-ready,consistent,2026-02-23T04:59:32.955885Z,1.0000,ok
+4094,"Theme: travel classification regression-suite qa pt-br; Domain: classification-production; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4094-317500.",travel classification regression-suite qa pt-br,minimal,high-precision,2026-02-23T04:59:32.955885Z,1.0000,ok
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+4113,"Theme: travel classification regression-suite qa pt-br; Domain: classification-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: 4113-189971.",travel classification regression-suite qa pt-br,stylized,commercial,2026-02-23T04:59:32.955885Z,1.0000,ok
+4114,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: platform engineer; Task: quality-check; Format: qa; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4114-531869.",travel classification regression-suite qa pt-br,production-ready,benchmark-grade,2026-02-23T04:59:32.955885Z,1.0000,ok
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+4116,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4116-814534.",travel classification regression-suite qa pt-br,minimal,benchmark-grade,2026-02-23T04:59:32.955885Z,1.0000,ok
+4117,"Theme: travel classification regression-suite qa pt-br; Domain: classification-production; Persona: platform engineer; Task: quality-check; Format: qa; Language: PT_BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4117-757987.",travel classification regression-suite qa pt-br,stylized,consistent,2026-02-23T04:59:32.955885Z,1.0000,ok
+4118,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; Persona: platform engineer; Task: quality-check; Format: qa; Language: PT_BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4118-465317.",travel classification regression-suite qa pt-br,minimal,high-precision,2026-02-23T04:59:32.955885Z,1.0000,ok
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+4121,"Theme: travel classification regression-suite qa pt-br; Domain: classification; 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: 4121-375623.",travel classification regression-suite qa pt-br,stylized,commercial,2026-02-23T04:59:32.955885Z,1.0000,ok
+4122,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4122-518717.",travel classification regression-suite qa pt-br,clean,commercial,2026-02-23T04:59:32.955885Z,1.0000,ok
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+4126,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4126-295079.",travel classification regression-suite qa pt-br,clean,benchmark-grade,2026-02-23T04:59:32.955885Z,1.0000,ok
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+4158,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4158-306388.",travel classification regression-suite qa pt-br,detailed,benchmark-grade,2026-02-23T04:59:32.955885Z,1.0000,ok
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+4160,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4160-311930.",travel classification regression-suite qa pt-br,production-ready,premium,2026-02-23T04:59:32.955885Z,1.0000,ok
+4161,"Theme: travel classification regression-suite qa pt-br; Domain: classification-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: 4161-954005.",travel classification regression-suite qa pt-br,detailed,consistent,2026-02-23T04:59:32.955885Z,1.0000,ok
+4162,"Theme: travel classification regression-suite qa pt-br; Domain: classification-production; Persona: ai researcher; Task: robustness-check; Format: qa; Language: PT_BR; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4162-213833.",travel classification regression-suite qa pt-br,clean,benchmark-grade,2026-02-23T04:59:32.955885Z,1.0000,ok
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+4165,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: platform engineer; Task: robustness-check; Format: qa; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4165-326915.",travel classification regression-suite qa pt-br,detailed,premium,2026-02-23T04:59:32.955885Z,1.0000,ok
+4166,"Theme: travel classification regression-suite qa pt-br; Domain: classification-production; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4166-582655.",travel classification regression-suite qa pt-br,production-ready,commercial,2026-02-23T04:59:32.955885Z,1.0000,ok
+4167,"Theme: travel classification regression-suite qa pt-br; Domain: classification-qa; Persona: ai researcher; Task: quality-check; Format: qa; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4167-751588.",travel classification regression-suite qa pt-br,stylized,high-precision,2026-02-23T04:59:32.955885Z,1.0000,ok
+4168,"Theme: travel classification regression-suite qa pt-br; Domain: classification-production; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4168-171105.",travel classification regression-suite qa pt-br,clean,consistent,2026-02-23T04:59:32.955885Z,1.0000,ok
+4169,"Theme: travel classification regression-suite qa pt-br; Domain: classification-production; 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: 4169-299225.",travel classification regression-suite qa pt-br,stylized,high-precision,2026-02-23T04:59:32.955885Z,1.0000,ok
+4170,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4170-437060.",travel classification regression-suite qa pt-br,stylized,high-precision,2026-02-23T04:59:32.955885Z,1.0000,ok
+4171,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; 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: 4171-800780.",travel classification regression-suite qa pt-br,detailed,high-precision,2026-02-23T04:59:32.955885Z,1.0000,ok
+4172,"Theme: travel classification regression-suite qa pt-br; Domain: classification-qa; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4172-282689.",travel classification regression-suite qa pt-br,clean,consistent,2026-02-23T04:59:32.955885Z,1.0000,ok
+4173,"Theme: travel classification regression-suite qa pt-br; Domain: classification-qa; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4173-779397.",travel classification regression-suite qa pt-br,stylized,consistent,2026-02-23T04:59:32.955885Z,1.0000,ok
+4174,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4174-524961.",travel classification regression-suite qa pt-br,cinematic,commercial,2026-02-23T04:59:32.955885Z,1.0000,ok
+4175,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; Persona: platform engineer; Task: grounding-check; Format: qa; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4175-891799.",travel classification regression-suite qa pt-br,detailed,consistent,2026-02-23T04:59:32.955885Z,1.0000,ok
+4176,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; 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: 4176-821116.",travel classification regression-suite qa pt-br,production-ready,consistent,2026-02-23T04:59:32.955885Z,1.0000,ok
+4177,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: PT_BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4177-153632.",travel classification regression-suite qa pt-br,clean,high-precision,2026-02-23T04:59:32.955885Z,1.0000,ok
+4178,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: PT_BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4178-605885.",travel classification regression-suite qa pt-br,cinematic,commercial,2026-02-23T04:59:32.955885Z,1.0000,ok
+4179,"Theme: travel classification regression-suite qa pt-br; Domain: classification-qa; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT_BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4179-228293.",travel classification regression-suite qa pt-br,clean,benchmark-grade,2026-02-23T04:59:32.955885Z,1.0000,ok
+4180,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4180-318577.",travel classification regression-suite qa pt-br,stylized,consistent,2026-02-23T04:59:32.955885Z,1.0000,ok
+4181,"Theme: travel classification regression-suite qa pt-br; Domain: classification-production; Persona: ml engineer; Task: robustness-check; Format: qa; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4181-186886.",travel classification regression-suite qa pt-br,detailed,high-precision,2026-02-23T04:59:32.955885Z,1.0000,ok
+4182,"Theme: travel classification regression-suite qa pt-br; Domain: classification-qa; Persona: data scientist; Task: robustness-check; Format: long-context; Language: PT_BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4182-313829.",travel classification regression-suite qa pt-br,stylized,benchmark-grade,2026-02-23T04:59:32.955885Z,1.0000,ok
+4183,"Theme: travel classification regression-suite qa pt-br; Domain: classification-qa; Persona: ml engineer; Task: robustness-check; Format: qa; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4183-998580.",travel classification regression-suite qa pt-br,production-ready,benchmark-grade,2026-02-23T04:59:32.955885Z,1.0000,ok
+4184,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4184-751899.",travel classification regression-suite qa pt-br,clean,consistent,2026-02-23T04:59:32.955885Z,1.0000,ok
+4185,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: ai researcher; Task: quality-check; Format: long-context; Language: PT_BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4185-830404.",travel classification regression-suite qa pt-br,stylized,high-precision,2026-02-23T04:59:32.955885Z,1.0000,ok
+4186,"Theme: travel classification regression-suite qa pt-br; Domain: classification-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: 4186-735133.",travel classification regression-suite qa pt-br,detailed,consistent,2026-02-23T04:59:32.955885Z,1.0000,ok
+4187,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; Persona: data scientist; Task: robustness-check; Format: qa; Language: PT_BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4187-156380.",travel classification regression-suite qa pt-br,cinematic,premium,2026-02-23T04:59:32.955885Z,1.0000,ok
+4188,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4188-221543.",travel classification regression-suite qa pt-br,detailed,high-precision,2026-02-23T04:59:32.955885Z,1.0000,ok
+4189,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: ml engineer; Task: robustness-check; Format: qa; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4189-527703.",travel classification regression-suite qa pt-br,clean,benchmark-grade,2026-02-23T04:59:32.955885Z,1.0000,ok
+4190,"Theme: travel classification regression-suite qa pt-br; Domain: classification-qa; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4190-913838.",travel classification regression-suite qa pt-br,cinematic,high-precision,2026-02-23T04:59:32.955885Z,1.0000,ok
+4191,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4191-286688.",travel classification regression-suite qa pt-br,production-ready,benchmark-grade,2026-02-23T04:59:32.955885Z,1.0000,ok
+4192,"Theme: travel classification regression-suite qa pt-br; Domain: classification; 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: 4192-320403.",travel classification regression-suite qa pt-br,production-ready,premium,2026-02-23T04:59:32.955885Z,1.0000,ok
+4193,"Theme: travel classification regression-suite qa pt-br; Domain: classification-qa; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT_BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4193-543416.",travel classification regression-suite qa pt-br,clean,commercial,2026-02-23T04:59:32.955885Z,1.0000,ok
+4194,"Theme: travel classification regression-suite qa pt-br; Domain: classification-qa; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4194-933926.",travel classification regression-suite qa pt-br,production-ready,benchmark-grade,2026-02-23T04:59:32.955885Z,1.0000,ok
+4195,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: PT_BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4195-513156.",travel classification regression-suite qa pt-br,detailed,benchmark-grade,2026-02-23T04:59:32.955885Z,1.0000,ok
+4196,"Theme: travel classification regression-suite qa pt-br; Domain: classification-production; Persona: data scientist; Task: benchmarking; Format: long-context; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4196-425351.",travel classification regression-suite qa pt-br,minimal,consistent,2026-02-23T04:59:32.955885Z,1.0000,ok
+4197,"Theme: travel classification regression-suite qa pt-br; Domain: classification-qa; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4197-468419.",travel classification regression-suite qa pt-br,cinematic,premium,2026-02-23T04:59:32.955885Z,1.0000,ok
+4198,"Theme: travel classification regression-suite qa pt-br; Domain: classification-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: 4198-410534.",travel classification regression-suite qa pt-br,stylized,benchmark-grade,2026-02-23T04:59:32.955885Z,1.0000,ok
+4199,"Theme: travel classification regression-suite qa pt-br; Domain: classification-qa; Persona: platform engineer; Task: benchmarking; Format: qa; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4199-809671.",travel classification regression-suite qa pt-br,minimal,benchmark-grade,2026-02-23T04:59:32.955885Z,1.0000,ok
+4200,"Theme: travel classification regression-suite qa pt-br; Domain: classification-qa; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: PT_BR; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4200-116162.",travel classification regression-suite qa pt-br,detailed,high-precision,2026-02-23T04:59:32.955885Z,1.0000,ok
+4201,"Theme: travel classification regression-suite qa pt-br; Domain: classification-production; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4201-306131.",travel classification regression-suite qa pt-br,detailed,high-precision,2026-02-23T04:59:32.955885Z,1.0000,ok
+4202,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT_BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4202-543571.",travel classification regression-suite qa pt-br,production-ready,commercial,2026-02-23T04:59:32.955885Z,1.0000,ok
+4203,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4203-953850.",travel classification regression-suite qa pt-br,cinematic,high-precision,2026-02-23T04:59:32.955885Z,1.0000,ok
+4204,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: PT_BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4204-255182.",travel classification regression-suite qa pt-br,stylized,benchmark-grade,2026-02-23T04:59:32.955885Z,1.0000,ok
+4205,"Theme: travel classification regression-suite qa pt-br; Domain: classification-production; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4205-225261.",travel classification regression-suite qa pt-br,stylized,benchmark-grade,2026-02-23T04:59:32.955885Z,1.0000,ok
+4206,"Theme: travel classification regression-suite qa pt-br; Domain: classification-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: 4206-789170.",travel classification regression-suite qa pt-br,cinematic,commercial,2026-02-23T04:59:32.955885Z,1.0000,ok
+4207,"Theme: travel classification regression-suite qa pt-br; Domain: classification-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: 4207-931740.",travel classification regression-suite qa pt-br,cinematic,benchmark-grade,2026-02-23T04:59:32.955885Z,1.0000,ok
+4208,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT_BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4208-663311.",travel classification regression-suite qa pt-br,minimal,commercial,2026-02-23T04:59:32.955885Z,1.0000,ok
+4209,"Theme: travel classification regression-suite qa pt-br; Domain: classification-qa; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: PT_BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4209-871833.",travel classification regression-suite qa pt-br,clean,commercial,2026-02-23T04:59:32.955885Z,1.0000,ok
+4210,"Theme: travel classification regression-suite qa pt-br; Domain: classification-qa; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4210-844885.",travel classification regression-suite qa pt-br,cinematic,consistent,2026-02-23T04:59:32.955885Z,1.0000,ok
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+4212,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4212-869258.",travel classification regression-suite qa pt-br,stylized,consistent,2026-02-23T04:59:32.955885Z,1.0000,ok
+4213,"Theme: travel classification regression-suite qa pt-br; Domain: classification-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: 4213-575798.",travel classification regression-suite qa pt-br,cinematic,benchmark-grade,2026-02-23T04:59:32.955885Z,1.0000,ok
+4214,"Theme: travel classification regression-suite qa pt-br; Domain: classification-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: 4214-105618.",travel classification regression-suite qa pt-br,stylized,commercial,2026-02-23T04:59:32.955885Z,1.0000,ok
+4215,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4215-226840.",travel classification regression-suite qa pt-br,production-ready,premium,2026-02-23T04:59:32.955885Z,1.0000,ok
+4216,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: data scientist; Task: grounding-check; Format: qa; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4216-510295.",travel classification regression-suite qa pt-br,clean,high-precision,2026-02-23T04:59:32.955885Z,1.0000,ok
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+4218,"Theme: travel classification regression-suite qa pt-br; Domain: classification-qa; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: PT_BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4218-833952.",travel classification regression-suite qa pt-br,cinematic,commercial,2026-02-23T04:59:32.955885Z,1.0000,ok
+4219,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: platform engineer; Task: quality-check; Format: long-context; Language: PT_BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4219-578642.",travel classification regression-suite qa pt-br,cinematic,consistent,2026-02-23T04:59:32.955885Z,1.0000,ok
+4220,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4220-818423.",travel classification regression-suite qa pt-br,production-ready,benchmark-grade,2026-02-23T04:59:32.955885Z,1.0000,ok
+4221,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4221-918225.",travel classification regression-suite qa pt-br,minimal,high-precision,2026-02-23T04:59:32.955885Z,1.0000,ok
+4222,"Theme: travel classification regression-suite qa pt-br; Domain: classification-qa; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4222-656004.",travel classification regression-suite qa pt-br,stylized,high-precision,2026-02-23T04:59:32.955885Z,1.0000,ok
+4223,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: PT_BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4223-833390.",travel classification regression-suite qa pt-br,detailed,consistent,2026-02-23T04:59:32.955885Z,1.0000,ok
+4224,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4224-899402.",travel classification regression-suite qa pt-br,cinematic,consistent,2026-02-23T04:59:32.955885Z,1.0000,ok
+4225,"Theme: travel classification regression-suite qa pt-br; Domain: classification-qa; Persona: data scientist; Task: robustness-check; Format: qa; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4225-560079.",travel classification regression-suite qa pt-br,minimal,consistent,2026-02-23T04:59:32.955885Z,1.0000,ok
+4226,"Theme: travel classification regression-suite qa pt-br; Domain: classification-qa; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4226-129799.",travel classification regression-suite qa pt-br,cinematic,consistent,2026-02-23T04:59:32.955885Z,1.0000,ok
+4227,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4227-683091.",travel classification regression-suite qa pt-br,cinematic,high-precision,2026-02-23T04:59:32.955885Z,1.0000,ok
+4228,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4228-333972.",travel classification regression-suite qa pt-br,detailed,high-precision,2026-02-23T04:59:32.955885Z,1.0000,ok
+4229,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; 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: 4229-313698.",travel classification regression-suite qa pt-br,clean,high-precision,2026-02-23T04:59:32.955885Z,1.0000,ok
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+4428,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4428-199854.",travel classification regression-suite qa pt-br,production-ready,consistent,2026-02-23T04:59:32.955885Z,1.0000,ok
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+4697,"Theme: travel classification regression-suite qa pt-br; Domain: classification-production; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4697-714114.",travel classification regression-suite qa pt-br,stylized,benchmark-grade,2026-02-23T04:59:32.955885Z,1.0000,ok
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+4763,"Theme: travel classification regression-suite qa pt-br; Domain: classification-production; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4763-976066.",travel classification regression-suite qa pt-br,detailed,commercial,2026-02-23T04:59:32.955885Z,1.0000,ok
+4764,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: data scientist; Task: benchmarking; Format: qa; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4764-234970.",travel classification regression-suite qa pt-br,clean,high-precision,2026-02-23T04:59:32.955885Z,1.0000,ok
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+4831,"Theme: travel classification regression-suite qa pt-br; Domain: classification-qa; 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: 4831-761372.",travel classification regression-suite qa pt-br,detailed,premium,2026-02-23T04:59:32.955885Z,1.0000,ok
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+4849,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4849-502094.",travel classification regression-suite qa pt-br,minimal,consistent,2026-02-23T04:59:32.955885Z,1.0000,ok
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+4852,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; Persona: ai researcher; Task: benchmarking; Format: qa; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4852-704562.",travel classification regression-suite qa pt-br,cinematic,benchmark-grade,2026-02-23T04:59:32.955885Z,1.0000,ok
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+4854,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4854-219618.",travel classification regression-suite qa pt-br,clean,benchmark-grade,2026-02-23T04:59:32.955885Z,1.0000,ok
+4855,"Theme: travel classification regression-suite qa pt-br; Domain: classification-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: 4855-771840.",travel classification regression-suite qa pt-br,stylized,high-precision,2026-02-23T04:59:32.955885Z,1.0000,ok
+4856,"Theme: travel classification regression-suite qa pt-br; Domain: classification-production; Persona: platform engineer; Task: robustness-check; Format: qa; Language: EN-US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4856-564657.",travel classification regression-suite qa pt-br,cinematic,high-precision,2026-02-23T04:59:32.955885Z,1.0000,ok
+4857,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; 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: 4857-941648.",travel classification regression-suite qa pt-br,production-ready,premium,2026-02-23T04:59:32.955885Z,1.0000,ok
+4858,"Theme: travel classification regression-suite qa pt-br; Domain: classification-qa; 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: 4858-278320.",travel classification regression-suite qa pt-br,production-ready,benchmark-grade,2026-02-23T04:59:32.955885Z,1.0000,ok
+4859,"Theme: travel classification regression-suite qa pt-br; Domain: classification; 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: 4859-642047.",travel classification regression-suite qa pt-br,stylized,commercial,2026-02-23T04:59:32.955885Z,1.0000,ok
+4860,"Theme: travel classification regression-suite qa pt-br; Domain: classification-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: 4860-780658.",travel classification regression-suite qa pt-br,clean,benchmark-grade,2026-02-23T04:59:32.955885Z,1.0000,ok
+4861,"Theme: travel classification regression-suite qa pt-br; Domain: classification-qa; 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: 4861-382173.",travel classification regression-suite qa pt-br,cinematic,consistent,2026-02-23T04:59:32.955885Z,1.0000,ok
+4862,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4862-855413.",travel classification regression-suite qa pt-br,stylized,consistent,2026-02-23T04:59:32.955885Z,1.0000,ok
+4863,"Theme: travel classification regression-suite qa pt-br; Domain: classification-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: 4863-711962.",travel classification regression-suite qa pt-br,clean,consistent,2026-02-23T04:59:32.955885Z,1.0000,ok
+4864,"Theme: travel classification regression-suite qa pt-br; Domain: classification-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: 4864-955858.",travel classification regression-suite qa pt-br,production-ready,premium,2026-02-23T04:59:32.955885Z,1.0000,ok
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+4896,"Theme: travel classification regression-suite qa pt-br; Domain: classification-qa; Persona: ml engineer; Task: quality-check; Format: qa; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4896-974401.",travel classification regression-suite qa pt-br,detailed,commercial,2026-02-23T04:59:32.955885Z,1.0000,ok
+4897,"Theme: travel classification regression-suite qa pt-br; Domain: classification-production; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT_BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4897-736543.",travel classification regression-suite qa pt-br,clean,high-precision,2026-02-23T04:59:32.955885Z,1.0000,ok
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+5299,"Theme: travel classification regression-suite qa pt-br; Domain: classification-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: 5299-529071.",travel classification regression-suite qa pt-br,minimal,premium,2026-02-23T04:59:32.955885Z,1.0000,ok
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+5433,"Theme: travel classification regression-suite qa pt-br; Domain: classification-production; 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: 5433-893896.",travel classification regression-suite qa pt-br,minimal,premium,2026-02-23T04:59:32.955885Z,1.0000,ok
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+5567,"Theme: travel classification regression-suite qa pt-br; Domain: classification-qa; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5567-690259.",travel classification regression-suite qa pt-br,minimal,consistent,2026-02-23T04:59:32.955885Z,1.0000,ok
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+5571,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: platform engineer; Task: robustness-check; Format: qa; Language: PT_BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5571-321888.",travel classification regression-suite qa pt-br,stylized,premium,2026-02-23T04:59:32.955885Z,1.0000,ok
+5572,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5572-447134.",travel classification regression-suite qa pt-br,detailed,consistent,2026-02-23T04:59:32.955885Z,1.0000,ok
+5573,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: data scientist; Task: grounding-check; Format: qa; Language: PT_BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5573-484683.",travel classification regression-suite qa pt-br,cinematic,commercial,2026-02-23T04:59:32.955885Z,1.0000,ok
+5574,"Theme: travel classification regression-suite qa pt-br; Domain: classification-production; Persona: platform engineer; Task: robustness-check; Format: qa; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5574-456838.",travel classification regression-suite qa pt-br,stylized,commercial,2026-02-23T04:59:32.955885Z,1.0000,ok
+5575,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; Persona: data scientist; Task: benchmarking; Format: long-context; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5575-994964.",travel classification regression-suite qa pt-br,clean,consistent,2026-02-23T04:59:32.955885Z,1.0000,ok
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+5577,"Theme: travel classification regression-suite qa pt-br; Domain: classification-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: 5577-487698.",travel classification regression-suite qa pt-br,minimal,consistent,2026-02-23T04:59:32.955885Z,1.0000,ok
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+5579,"Theme: travel classification regression-suite qa pt-br; Domain: classification-production; Persona: data scientist; Task: quality-check; Format: long-context; Language: PT_BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5579-460844.",travel classification regression-suite qa pt-br,minimal,commercial,2026-02-23T04:59:32.955885Z,1.0000,ok
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+5581,"Theme: travel classification regression-suite qa pt-br; Domain: classification-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: 5581-559407.",travel classification regression-suite qa pt-br,stylized,high-precision,2026-02-23T04:59:32.955885Z,1.0000,ok
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+5583,"Theme: travel classification regression-suite qa pt-br; Domain: classification-production; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: PT_BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5583-476562.",travel classification regression-suite qa pt-br,stylized,consistent,2026-02-23T04:59:32.955885Z,1.0000,ok
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+5585,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5585-837750.",travel classification regression-suite qa pt-br,cinematic,premium,2026-02-23T04:59:32.955885Z,1.0000,ok
+5586,"Theme: travel classification regression-suite qa pt-br; Domain: classification-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: 5586-684814.",travel classification regression-suite qa pt-br,clean,commercial,2026-02-23T04:59:32.955885Z,1.0000,ok
+5587,"Theme: travel classification regression-suite qa pt-br; Domain: classification-production; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT_BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5587-635983.",travel classification regression-suite qa pt-br,clean,commercial,2026-02-23T04:59:32.955885Z,1.0000,ok
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+5589,"Theme: travel classification regression-suite qa pt-br; Domain: classification-production; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5589-865019.",travel classification regression-suite qa pt-br,minimal,consistent,2026-02-23T04:59:32.955885Z,1.0000,ok
+5590,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: ml engineer; Task: robustness-check; Format: qa; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5590-681796.",travel classification regression-suite qa pt-br,minimal,benchmark-grade,2026-02-23T04:59:32.955885Z,1.0000,ok
+5591,"Theme: travel classification regression-suite qa pt-br; Domain: classification-production; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5591-687525.",travel classification regression-suite qa pt-br,detailed,commercial,2026-02-23T04:59:32.955885Z,1.0000,ok
+5592,"Theme: travel classification regression-suite qa pt-br; Domain: classification-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: 5592-377577.",travel classification regression-suite qa pt-br,production-ready,premium,2026-02-23T04:59:32.955885Z,1.0000,ok
+5593,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: ml engineer; Task: grounding-check; Format: qa; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5593-165673.",travel classification regression-suite qa pt-br,stylized,premium,2026-02-23T04:59:32.955885Z,1.0000,ok
+5594,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5594-572090.",travel classification regression-suite qa pt-br,production-ready,high-precision,2026-02-23T04:59:32.955885Z,1.0000,ok
+5595,"Theme: travel classification regression-suite qa pt-br; Domain: classification-qa; Persona: platform engineer; Task: grounding-check; Format: qa; Language: PT_BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5595-718682.",travel classification regression-suite qa pt-br,stylized,high-precision,2026-02-23T04:59:32.955885Z,1.0000,ok
+5596,"Theme: travel classification regression-suite qa pt-br; Domain: classification-qa; Persona: ml engineer; Task: benchmarking; Format: qa; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5596-135818.",travel classification regression-suite qa pt-br,production-ready,commercial,2026-02-23T04:59:32.955885Z,1.0000,ok
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+5598,"Theme: travel classification regression-suite qa pt-br; Domain: classification-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: 5598-901048.",travel classification regression-suite qa pt-br,stylized,commercial,2026-02-23T04:59:32.955885Z,1.0000,ok
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+5600,"Theme: travel classification regression-suite qa pt-br; Domain: classification-qa; Persona: ml engineer; Task: quality-check; Format: qa; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5600-716991.",travel classification regression-suite qa pt-br,cinematic,benchmark-grade,2026-02-23T04:59:32.955885Z,1.0000,ok
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+5628,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5628-313068.",travel classification regression-suite qa pt-br,cinematic,consistent,2026-02-23T04:59:32.955885Z,1.0000,ok
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+5630,"Theme: travel classification regression-suite qa pt-br; Domain: classification-qa; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5630-850063.",travel classification regression-suite qa pt-br,cinematic,commercial,2026-02-23T04:59:32.955885Z,1.0000,ok
+5631,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT_BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5631-912589.",travel classification regression-suite qa pt-br,minimal,benchmark-grade,2026-02-23T04:59:32.955885Z,1.0000,ok
+5632,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; Persona: ai researcher; Task: benchmarking; Format: qa; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5632-174806.",travel classification regression-suite qa pt-br,minimal,premium,2026-02-23T04:59:32.955885Z,1.0000,ok
+5633,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: ai researcher; Task: robustness-check; Format: qa; Language: PT_BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5633-250368.",travel classification regression-suite qa pt-br,production-ready,benchmark-grade,2026-02-23T04:59:32.955885Z,1.0000,ok
+5634,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: platform engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5634-524127.",travel classification regression-suite qa pt-br,minimal,consistent,2026-02-23T04:59:32.955885Z,1.0000,ok
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+5701,"Theme: travel classification regression-suite qa pt-br; Domain: classification-qa; Persona: ai researcher; Task: robustness-check; Format: qa; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5701-852917.",travel classification regression-suite qa pt-br,clean,consistent,2026-02-23T04:59:32.955885Z,1.0000,ok
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+5714,"Theme: travel classification regression-suite qa pt-br; Domain: classification-qa; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5714-366755.",travel classification regression-suite qa pt-br,minimal,high-precision,2026-02-23T04:59:32.955885Z,1.0000,ok
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+5718,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: PT_BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5718-563873.",travel classification regression-suite qa pt-br,stylized,commercial,2026-02-23T04:59:32.955885Z,1.0000,ok
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+5722,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: data scientist; Task: robustness-check; Format: qa; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5722-844602.",travel classification regression-suite qa pt-br,cinematic,premium,2026-02-23T04:59:32.955885Z,1.0000,ok
+5723,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: data scientist; Task: grounding-check; Format: qa; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5723-117580.",travel classification regression-suite qa pt-br,clean,consistent,2026-02-23T04:59:32.955885Z,1.0000,ok
+5724,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5724-801459.",travel classification regression-suite qa pt-br,production-ready,benchmark-grade,2026-02-23T04:59:32.955885Z,1.0000,ok
+5725,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; Persona: platform engineer; Task: robustness-check; Format: qa; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5725-897624.",travel classification regression-suite qa pt-br,cinematic,high-precision,2026-02-23T04:59:32.955885Z,1.0000,ok
+5726,"Theme: travel classification regression-suite qa pt-br; Domain: classification-production; Persona: platform engineer; Task: grounding-check; Format: qa; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5726-491585.",travel classification regression-suite qa pt-br,clean,high-precision,2026-02-23T04:59:32.955885Z,1.0000,ok
+5727,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: PT_BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5727-652336.",travel classification regression-suite qa pt-br,clean,benchmark-grade,2026-02-23T04:59:32.955885Z,1.0000,ok
+5728,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5728-466688.",travel classification regression-suite qa pt-br,cinematic,commercial,2026-02-23T04:59:32.955885Z,1.0000,ok
+5729,"Theme: travel classification regression-suite qa pt-br; Domain: classification-production; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: PT_BR; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5729-633855.",travel classification regression-suite qa pt-br,minimal,premium,2026-02-23T04:59:32.955885Z,1.0000,ok
+5730,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: PT_BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5730-913564.",travel classification regression-suite qa pt-br,detailed,commercial,2026-02-23T04:59:32.955885Z,1.0000,ok
+5731,"Theme: travel classification regression-suite qa pt-br; Domain: classification-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: 5731-280713.",travel classification regression-suite qa pt-br,minimal,benchmark-grade,2026-02-23T04:59:32.955885Z,1.0000,ok
+5732,"Theme: travel classification regression-suite qa pt-br; Domain: classification-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: 5732-386088.",travel classification regression-suite qa pt-br,cinematic,commercial,2026-02-23T04:59:32.955885Z,1.0000,ok
+5733,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5733-712561.",travel classification regression-suite qa pt-br,clean,consistent,2026-02-23T04:59:32.955885Z,1.0000,ok
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+5766,"Theme: travel classification regression-suite qa pt-br; Domain: classification-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: 5766-386551.",travel classification regression-suite qa pt-br,stylized,high-precision,2026-02-23T04:59:32.955885Z,1.0000,ok
+5767,"Theme: travel classification regression-suite qa pt-br; Domain: classification-qa; Persona: platform engineer; Task: quality-check; Format: qa; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5767-835337.",travel classification regression-suite qa pt-br,detailed,consistent,2026-02-23T04:59:32.955885Z,1.0000,ok
+5768,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: PT_BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5768-475639.",travel classification regression-suite qa pt-br,stylized,high-precision,2026-02-23T04:59:32.955885Z,1.0000,ok
+5769,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5769-691792.",travel classification regression-suite qa pt-br,clean,premium,2026-02-23T04:59:32.955885Z,1.0000,ok
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+5835,"Theme: travel classification regression-suite qa pt-br; Domain: classification-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: 5835-255985.",travel classification regression-suite qa pt-br,clean,high-precision,2026-02-23T04:59:32.955885Z,1.0000,ok
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+5861,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: ai researcher; Task: quality-check; Format: qa; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5861-998233.",travel classification regression-suite qa pt-br,stylized,benchmark-grade,2026-02-23T04:59:32.955885Z,1.0000,ok
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+5901,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5901-639063.",travel classification regression-suite qa pt-br,stylized,benchmark-grade,2026-02-23T04:59:32.955885Z,1.0000,ok
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+5927,"Theme: travel classification regression-suite qa pt-br; Domain: classification-production; Persona: platform engineer; Task: grounding-check; Format: qa; Language: EN-US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5927-761139.",travel classification regression-suite qa pt-br,clean,high-precision,2026-02-23T04:59:32.955885Z,1.0000,ok
+5928,"Theme: travel classification regression-suite qa pt-br; Domain: classification; 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: 5928-353803.",travel classification regression-suite qa pt-br,minimal,commercial,2026-02-23T04:59:32.955885Z,1.0000,ok
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+5968,"Theme: travel classification regression-suite qa pt-br; Domain: classification-production; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5968-404069.",travel classification regression-suite qa pt-br,minimal,high-precision,2026-02-23T04:59:32.955885Z,1.0000,ok
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+6034,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT_BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6034-514998.",travel classification regression-suite qa pt-br,cinematic,consistent,2026-02-23T04:59:32.955885Z,1.0000,ok
+6035,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6035-743999.",travel classification regression-suite qa pt-br,stylized,consistent,2026-02-23T04:59:32.955885Z,1.0000,ok
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+6043,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6043-844477.",travel classification regression-suite qa pt-br,clean,consistent,2026-02-23T04:59:32.955885Z,1.0000,ok
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+6047,"Theme: travel classification regression-suite qa pt-br; Domain: classification-qa; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: PT_BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6047-563645.",travel classification regression-suite qa pt-br,minimal,high-precision,2026-02-23T04:59:32.955885Z,1.0000,ok
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+6050,"Theme: travel classification regression-suite qa pt-br; Domain: classification; 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: 6050-667556.",travel classification regression-suite qa pt-br,detailed,high-precision,2026-02-23T04:59:32.955885Z,1.0000,ok
+6051,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: ai researcher; Task: robustness-check; Format: qa; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6051-737666.",travel classification regression-suite qa pt-br,minimal,benchmark-grade,2026-02-23T04:59:32.955885Z,1.0000,ok
+6052,"Theme: travel classification regression-suite qa pt-br; Domain: classification-qa; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6052-445463.",travel classification regression-suite qa pt-br,clean,commercial,2026-02-23T04:59:32.955885Z,1.0000,ok
+6053,"Theme: travel classification regression-suite qa pt-br; Domain: classification-production; Persona: data scientist; Task: quality-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6053-822534.",travel classification regression-suite qa pt-br,clean,high-precision,2026-02-23T04:59:32.955885Z,1.0000,ok
+6054,"Theme: travel classification regression-suite qa pt-br; Domain: classification-qa; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: PT_BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6054-633436.",travel classification regression-suite qa pt-br,cinematic,premium,2026-02-23T04:59:32.955885Z,1.0000,ok
+6055,"Theme: travel classification regression-suite qa pt-br; Domain: classification-production; Persona: ai researcher; Task: grounding-check; Format: qa; Language: PT_BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6055-503785.",travel classification regression-suite qa pt-br,cinematic,benchmark-grade,2026-02-23T04:59:32.955885Z,1.0000,ok
+6056,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; Persona: ai researcher; Task: benchmarking; Format: qa; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6056-666641.",travel classification regression-suite qa pt-br,cinematic,premium,2026-02-23T04:59:32.955885Z,1.0000,ok
+6057,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6057-571227.",travel classification regression-suite qa pt-br,detailed,consistent,2026-02-23T04:59:32.955885Z,1.0000,ok
+6058,"Theme: travel classification regression-suite qa pt-br; Domain: classification-production; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6058-852920.",travel classification regression-suite qa pt-br,minimal,commercial,2026-02-23T04:59:32.955885Z,1.0000,ok
+6059,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6059-926841.",travel classification regression-suite qa pt-br,clean,high-precision,2026-02-23T04:59:32.955885Z,1.0000,ok
+6060,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6060-107500.",travel classification regression-suite qa pt-br,minimal,commercial,2026-02-23T04:59:32.955885Z,1.0000,ok
+6061,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6061-550775.",travel classification regression-suite qa pt-br,stylized,benchmark-grade,2026-02-23T04:59:32.955885Z,1.0000,ok
+6062,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: ml engineer; Task: quality-check; Format: long-context; Language: PT_BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6062-623053.",travel classification regression-suite qa pt-br,production-ready,consistent,2026-02-23T04:59:32.955885Z,1.0000,ok
+6063,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; Persona: ai researcher; Task: robustness-check; Format: qa; Language: EN-US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6063-470138.",travel classification regression-suite qa pt-br,clean,high-precision,2026-02-23T04:59:32.955885Z,1.0000,ok
+6064,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: PT_BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6064-613751.",travel classification regression-suite qa pt-br,production-ready,consistent,2026-02-23T04:59:32.955885Z,1.0000,ok
+6065,"Theme: travel classification regression-suite qa pt-br; Domain: classification-qa; Persona: data scientist; Task: quality-check; Format: qa; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6065-611423.",travel classification regression-suite qa pt-br,detailed,benchmark-grade,2026-02-23T04:59:32.955885Z,1.0000,ok
+6066,"Theme: travel classification regression-suite qa pt-br; Domain: classification; 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: 6066-707888.",travel classification regression-suite qa pt-br,clean,consistent,2026-02-23T04:59:32.955885Z,1.0000,ok
+6067,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6067-179512.",travel classification regression-suite qa pt-br,minimal,commercial,2026-02-23T04:59:32.955885Z,1.0000,ok
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+6069,"Theme: travel classification regression-suite qa pt-br; Domain: classification-production; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6069-775069.",travel classification regression-suite qa pt-br,clean,premium,2026-02-23T04:59:32.955885Z,1.0000,ok
+6070,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; 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: 6070-753457.",travel classification regression-suite qa pt-br,stylized,high-precision,2026-02-23T04:59:32.955885Z,1.0000,ok
+6071,"Theme: travel classification regression-suite qa pt-br; Domain: classification-qa; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6071-594996.",travel classification regression-suite qa pt-br,cinematic,high-precision,2026-02-23T04:59:32.955885Z,1.0000,ok
+6072,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: PT_BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6072-388917.",travel classification regression-suite qa pt-br,production-ready,benchmark-grade,2026-02-23T04:59:32.955885Z,1.0000,ok
+6073,"Theme: travel classification regression-suite qa pt-br; Domain: classification-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: 6073-479709.",travel classification regression-suite qa pt-br,production-ready,high-precision,2026-02-23T04:59:32.955885Z,1.0000,ok
+6074,"Theme: travel classification regression-suite qa pt-br; Domain: classification-qa; Persona: data scientist; Task: benchmarking; Format: long-context; Language: PT_BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6074-819188.",travel classification regression-suite qa pt-br,detailed,high-precision,2026-02-23T04:59:32.955885Z,1.0000,ok
+6075,"Theme: travel classification regression-suite qa pt-br; Domain: classification-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: 6075-559592.",travel classification regression-suite qa pt-br,production-ready,high-precision,2026-02-23T04:59:32.955885Z,1.0000,ok
+6076,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; 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: 6076-372880.",travel classification regression-suite qa pt-br,cinematic,benchmark-grade,2026-02-23T04:59:32.955885Z,1.0000,ok
+6077,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: platform engineer; Task: quality-check; Format: qa; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6077-606191.",travel classification regression-suite qa pt-br,minimal,benchmark-grade,2026-02-23T04:59:32.955885Z,1.0000,ok
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+6080,"Theme: travel classification regression-suite qa pt-br; Domain: classification-qa; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6080-285550.",travel classification regression-suite qa pt-br,stylized,consistent,2026-02-23T04:59:32.955885Z,1.0000,ok
+6081,"Theme: travel classification regression-suite qa pt-br; Domain: classification; 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: 6081-188420.",travel classification regression-suite qa pt-br,cinematic,consistent,2026-02-23T04:59:32.955885Z,1.0000,ok
+6082,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT_BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6082-104160.",travel classification regression-suite qa pt-br,stylized,consistent,2026-02-23T04:59:32.955885Z,1.0000,ok
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+6084,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; Persona: ml engineer; Task: benchmarking; Format: qa; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6084-314598.",travel classification regression-suite qa pt-br,clean,benchmark-grade,2026-02-23T04:59:32.955885Z,1.0000,ok
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+6092,"Theme: travel classification regression-suite qa pt-br; Domain: classification; 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: 6092-832293.",travel classification regression-suite qa pt-br,minimal,consistent,2026-02-23T04:59:32.955885Z,1.0000,ok
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+6094,"Theme: travel classification regression-suite qa pt-br; Domain: classification-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: 6094-532016.",travel classification regression-suite qa pt-br,detailed,high-precision,2026-02-23T04:59:32.955885Z,1.0000,ok
+6095,"Theme: travel classification regression-suite qa pt-br; Domain: classification-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: 6095-844198.",travel classification regression-suite qa pt-br,cinematic,high-precision,2026-02-23T04:59:32.955885Z,1.0000,ok
+6096,"Theme: travel classification regression-suite qa pt-br; Domain: classification-production; Persona: ml engineer; Task: quality-check; Format: qa; Language: PT_BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6096-475897.",travel classification regression-suite qa pt-br,cinematic,consistent,2026-02-23T04:59:32.955885Z,1.0000,ok
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+6098,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: PT_BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6098-921541.",travel classification regression-suite qa pt-br,production-ready,premium,2026-02-23T04:59:32.955885Z,1.0000,ok
+6099,"Theme: travel classification regression-suite qa pt-br; Domain: classification-qa; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: PT_BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6099-283261.",travel classification regression-suite qa pt-br,clean,commercial,2026-02-23T04:59:32.955885Z,1.0000,ok
+6100,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6100-583961.",travel classification regression-suite qa pt-br,minimal,premium,2026-02-23T04:59:32.955885Z,1.0000,ok
+6101,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6101-103794.",travel classification regression-suite qa pt-br,stylized,premium,2026-02-23T04:59:32.955885Z,1.0000,ok
+6102,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; Persona: ml engineer; Task: grounding-check; Format: qa; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6102-893844.",travel classification regression-suite qa pt-br,minimal,benchmark-grade,2026-02-23T04:59:32.955885Z,1.0000,ok
+6103,"Theme: travel classification regression-suite qa pt-br; Domain: classification-qa; Persona: ai researcher; Task: quality-check; Format: qa; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6103-142791.",travel classification regression-suite qa pt-br,production-ready,benchmark-grade,2026-02-23T04:59:32.955885Z,1.0000,ok
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+6124,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6124-926234.",travel classification regression-suite qa pt-br,cinematic,benchmark-grade,2026-02-23T04:59:32.955885Z,1.0000,ok
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+6126,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; 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: 6126-488222.",travel classification regression-suite qa pt-br,production-ready,premium,2026-02-23T04:59:32.955885Z,1.0000,ok
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+6169,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6169-347837.",travel classification regression-suite qa pt-br,stylized,premium,2026-02-23T04:59:32.955885Z,1.0000,ok
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+6186,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: data scientist; Task: quality-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6186-309325.",travel classification regression-suite qa pt-br,stylized,commercial,2026-02-23T04:59:32.955885Z,1.0000,ok
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+6260,"Theme: travel classification regression-suite qa pt-br; Domain: classification; 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: 6260-274902.",travel classification regression-suite qa pt-br,minimal,premium,2026-02-23T04:59:32.955885Z,1.0000,ok
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+6302,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; 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: 6302-805673.",travel classification regression-suite qa pt-br,minimal,commercial,2026-02-23T04:59:32.955885Z,1.0000,ok
+6303,"Theme: travel classification regression-suite qa pt-br; Domain: classification-production; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6303-740046.",travel classification regression-suite qa pt-br,minimal,commercial,2026-02-23T04:59:32.955885Z,1.0000,ok
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+6321,"Theme: travel classification regression-suite qa pt-br; Domain: classification-production; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT_BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6321-825110.",travel classification regression-suite qa pt-br,clean,high-precision,2026-02-23T04:59:32.955885Z,1.0000,ok
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+6324,"Theme: travel classification regression-suite qa pt-br; Domain: classification-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: 6324-175077.",travel classification regression-suite qa pt-br,production-ready,high-precision,2026-02-23T04:59:32.955885Z,1.0000,ok
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+6326,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; Persona: ai researcher; Task: grounding-check; Format: qa; Language: PT_BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6326-415332.",travel classification regression-suite qa pt-br,stylized,benchmark-grade,2026-02-23T04:59:32.955885Z,1.0000,ok
+6327,"Theme: travel classification regression-suite qa pt-br; Domain: classification-qa; Persona: ai researcher; Task: grounding-check; Format: qa; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6327-253172.",travel classification regression-suite qa pt-br,stylized,benchmark-grade,2026-02-23T04:59:32.955885Z,1.0000,ok
+6328,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: data scientist; Task: grounding-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6328-342855.",travel classification regression-suite qa pt-br,minimal,high-precision,2026-02-23T04:59:32.955885Z,1.0000,ok
+6329,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: platform engineer; Task: quality-check; Format: long-context; Language: PT_BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6329-602817.",travel classification regression-suite qa pt-br,production-ready,consistent,2026-02-23T04:59:32.955885Z,1.0000,ok
+6330,"Theme: travel classification regression-suite qa pt-br; Domain: classification-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: 6330-430967.",travel classification regression-suite qa pt-br,cinematic,premium,2026-02-23T04:59:32.955885Z,1.0000,ok
+6331,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6331-423182.",travel classification regression-suite qa pt-br,production-ready,consistent,2026-02-23T04:59:32.955885Z,1.0000,ok
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+6370,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6370-992147.",travel classification regression-suite qa pt-br,cinematic,benchmark-grade,2026-02-23T04:59:32.955885Z,1.0000,ok
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+6389,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6389-214184.",travel classification regression-suite qa pt-br,detailed,high-precision,2026-02-23T04:59:32.955885Z,1.0000,ok
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+6396,"Theme: travel classification regression-suite qa pt-br; Domain: classification-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: 6396-557794.",travel classification regression-suite qa pt-br,stylized,commercial,2026-02-23T04:59:32.955885Z,1.0000,ok
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+6398,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: platform engineer; Task: robustness-check; Format: qa; Language: PT_BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6398-285132.",travel classification regression-suite qa pt-br,clean,consistent,2026-02-23T04:59:32.955885Z,1.0000,ok
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+6433,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6433-284462.",travel classification regression-suite qa pt-br,clean,commercial,2026-02-23T04:59:32.955885Z,1.0000,ok
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+6435,"Theme: travel classification regression-suite qa pt-br; Domain: classification-production; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6435-636330.",travel classification regression-suite qa pt-br,minimal,benchmark-grade,2026-02-23T04:59:32.955885Z,1.0000,ok
+6436,"Theme: travel classification regression-suite qa pt-br; Domain: classification-qa; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT_BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6436-485065.",travel classification regression-suite qa pt-br,stylized,consistent,2026-02-23T04:59:32.955885Z,1.0000,ok
+6437,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; Persona: data scientist; Task: grounding-check; Format: long-context; Language: PT_BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6437-971385.",travel classification regression-suite qa pt-br,production-ready,high-precision,2026-02-23T04:59:32.955885Z,1.0000,ok
+6438,"Theme: travel classification regression-suite qa pt-br; Domain: classification-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: 6438-598508.",travel classification regression-suite qa pt-br,clean,high-precision,2026-02-23T04:59:32.955885Z,1.0000,ok
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+6440,"Theme: travel classification regression-suite qa pt-br; Domain: classification-production; Persona: data scientist; Task: quality-check; Format: long-context; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6440-848872.",travel classification regression-suite qa pt-br,stylized,benchmark-grade,2026-02-23T04:59:32.955885Z,1.0000,ok
+6441,"Theme: travel classification regression-suite qa pt-br; Domain: classification-qa; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6441-523007.",travel classification regression-suite qa pt-br,clean,high-precision,2026-02-23T04:59:32.955885Z,1.0000,ok
+6442,"Theme: travel classification regression-suite qa pt-br; Domain: classification-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: 6442-881512.",travel classification regression-suite qa pt-br,stylized,premium,2026-02-23T04:59:32.955885Z,1.0000,ok
+6443,"Theme: travel classification regression-suite qa pt-br; Domain: classification-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: 6443-631363.",travel classification regression-suite qa pt-br,production-ready,premium,2026-02-23T04:59:32.955885Z,1.0000,ok
+6444,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; 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: 6444-707951.",travel classification regression-suite qa pt-br,clean,benchmark-grade,2026-02-23T04:59:32.955885Z,1.0000,ok
+6445,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; Persona: data scientist; Task: quality-check; Format: qa; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6445-915715.",travel classification regression-suite qa pt-br,minimal,high-precision,2026-02-23T04:59:32.955885Z,1.0000,ok
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+6447,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; Persona: platform engineer; Task: quality-check; Format: long-context; Language: PT_BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6447-577397.",travel classification regression-suite qa pt-br,detailed,commercial,2026-02-23T04:59:32.955885Z,1.0000,ok
+6448,"Theme: travel classification regression-suite qa pt-br; Domain: classification-production; Persona: ai researcher; Task: grounding-check; Format: qa; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6448-832721.",travel classification regression-suite qa pt-br,stylized,high-precision,2026-02-23T04:59:32.955885Z,1.0000,ok
+6449,"Theme: travel classification regression-suite qa pt-br; Domain: classification-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: 6449-637260.",travel classification regression-suite qa pt-br,detailed,premium,2026-02-23T04:59:32.955885Z,1.0000,ok
+6450,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6450-653022.",travel classification regression-suite qa pt-br,detailed,consistent,2026-02-23T04:59:32.955885Z,1.0000,ok
+6451,"Theme: travel classification regression-suite qa pt-br; Domain: classification-production; Persona: platform engineer; Task: quality-check; Format: qa; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6451-899000.",travel classification regression-suite qa pt-br,production-ready,consistent,2026-02-23T04:59:32.955885Z,1.0000,ok
+6452,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: PT_BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6452-239786.",travel classification regression-suite qa pt-br,production-ready,commercial,2026-02-23T04:59:32.955885Z,1.0000,ok
+6453,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: data scientist; Task: benchmarking; Format: long-context; Language: PT_BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6453-251260.",travel classification regression-suite qa pt-br,cinematic,premium,2026-02-23T04:59:32.955885Z,1.0000,ok
+6454,"Theme: travel classification regression-suite qa pt-br; Domain: classification-production; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6454-782649.",travel classification regression-suite qa pt-br,cinematic,premium,2026-02-23T04:59:32.955885Z,1.0000,ok
+6455,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: PT_BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6455-530037.",travel classification regression-suite qa pt-br,minimal,high-precision,2026-02-23T04:59:32.955885Z,1.0000,ok
+6456,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT_BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6456-838927.",travel classification regression-suite qa pt-br,cinematic,benchmark-grade,2026-02-23T04:59:32.955885Z,1.0000,ok
+6457,"Theme: travel classification regression-suite qa pt-br; Domain: classification-production; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6457-984089.",travel classification regression-suite qa pt-br,stylized,benchmark-grade,2026-02-23T04:59:32.955885Z,1.0000,ok
+6458,"Theme: travel classification regression-suite qa pt-br; Domain: classification-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: 6458-745207.",travel classification regression-suite qa pt-br,detailed,consistent,2026-02-23T04:59:32.955885Z,1.0000,ok
+6459,"Theme: travel classification regression-suite qa pt-br; Domain: classification-production; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6459-360561.",travel classification regression-suite qa pt-br,detailed,benchmark-grade,2026-02-23T04:59:32.955885Z,1.0000,ok
+6460,"Theme: travel classification regression-suite qa pt-br; Domain: classification-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: 6460-868526.",travel classification regression-suite qa pt-br,cinematic,commercial,2026-02-23T04:59:32.955885Z,1.0000,ok
+6461,"Theme: travel classification regression-suite qa pt-br; Domain: classification-qa; Persona: platform engineer; Task: grounding-check; Format: qa; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6461-824470.",travel classification regression-suite qa pt-br,stylized,consistent,2026-02-23T04:59:32.955885Z,1.0000,ok
+6462,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; Persona: data scientist; Task: robustness-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6462-684966.",travel classification regression-suite qa pt-br,clean,consistent,2026-02-23T04:59:32.955885Z,1.0000,ok
+6463,"Theme: travel classification regression-suite qa pt-br; Domain: classification-production; Persona: ml engineer; Task: grounding-check; Format: qa; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6463-152381.",travel classification regression-suite qa pt-br,production-ready,commercial,2026-02-23T04:59:32.955885Z,1.0000,ok
+6464,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: PT_BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6464-262075.",travel classification regression-suite qa pt-br,detailed,premium,2026-02-23T04:59:32.955885Z,1.0000,ok
+6465,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: PT_BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6465-649098.",travel classification regression-suite qa pt-br,stylized,commercial,2026-02-23T04:59:32.955885Z,1.0000,ok
+6466,"Theme: travel classification regression-suite qa pt-br; Domain: classification-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: 6466-579754.",travel classification regression-suite qa pt-br,production-ready,consistent,2026-02-23T04:59:32.955885Z,1.0000,ok
+6467,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; Persona: data scientist; Task: grounding-check; Format: qa; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6467-508614.",travel classification regression-suite qa pt-br,minimal,high-precision,2026-02-23T04:59:32.955885Z,1.0000,ok
+6468,"Theme: travel classification regression-suite qa pt-br; Domain: classification-qa; Persona: ml engineer; Task: benchmarking; Format: qa; Language: PT_BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6468-389629.",travel classification regression-suite qa pt-br,production-ready,premium,2026-02-23T04:59:32.955885Z,1.0000,ok
+6469,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: PT_BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6469-643227.",travel classification regression-suite qa pt-br,stylized,benchmark-grade,2026-02-23T04:59:32.955885Z,1.0000,ok
+6470,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; 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: 6470-739597.",travel classification regression-suite qa pt-br,clean,commercial,2026-02-23T04:59:32.955885Z,1.0000,ok
+6471,"Theme: travel classification regression-suite qa pt-br; Domain: classification-production; Persona: ml engineer; Task: benchmarking; Format: qa; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6471-651796.",travel classification regression-suite qa pt-br,minimal,commercial,2026-02-23T04:59:32.955885Z,1.0000,ok
+6472,"Theme: travel classification regression-suite qa pt-br; Domain: classification; 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: 6472-597085.",travel classification regression-suite qa pt-br,cinematic,premium,2026-02-23T04:59:32.955885Z,1.0000,ok
+6473,"Theme: travel classification regression-suite qa pt-br; Domain: classification-production; Persona: platform engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6473-549602.",travel classification regression-suite qa pt-br,cinematic,high-precision,2026-02-23T04:59:32.955885Z,1.0000,ok
+6474,"Theme: travel classification regression-suite qa pt-br; Domain: classification-qa; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6474-754402.",travel classification regression-suite qa pt-br,minimal,commercial,2026-02-23T04:59:32.955885Z,1.0000,ok
+6475,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6475-492444.",travel classification regression-suite qa pt-br,cinematic,commercial,2026-02-23T04:59:32.955885Z,1.0000,ok
+6476,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6476-141965.",travel classification regression-suite qa pt-br,minimal,high-precision,2026-02-23T04:59:32.955885Z,1.0000,ok
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+6478,"Theme: travel classification regression-suite qa pt-br; Domain: classification-production; Persona: platform engineer; Task: robustness-check; Format: qa; Language: PT_BR; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6478-940305.",travel classification regression-suite qa pt-br,cinematic,commercial,2026-02-23T04:59:32.955885Z,1.0000,ok
+6479,"Theme: travel classification regression-suite qa pt-br; Domain: classification-qa; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6479-760596.",travel classification regression-suite qa pt-br,cinematic,premium,2026-02-23T04:59:32.955885Z,1.0000,ok
+6480,"Theme: travel classification regression-suite qa pt-br; Domain: classification; 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: 6480-199341.",travel classification regression-suite qa pt-br,detailed,premium,2026-02-23T04:59:32.955885Z,1.0000,ok
+6481,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; 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: 6481-728324.",travel classification regression-suite qa pt-br,stylized,consistent,2026-02-23T04:59:32.955885Z,1.0000,ok
+6482,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: PT_BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6482-723431.",travel classification regression-suite qa pt-br,production-ready,commercial,2026-02-23T04:59:32.955885Z,1.0000,ok
+6483,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: ai researcher; Task: robustness-check; Format: qa; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6483-739041.",travel classification regression-suite qa pt-br,detailed,benchmark-grade,2026-02-23T04:59:32.955885Z,1.0000,ok
+6484,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: PT_BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6484-128940.",travel classification regression-suite qa pt-br,cinematic,premium,2026-02-23T04:59:32.955885Z,1.0000,ok
+6485,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; Persona: data scientist; Task: grounding-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6485-320195.",travel classification regression-suite qa pt-br,cinematic,benchmark-grade,2026-02-23T04:59:32.955885Z,1.0000,ok
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+6493,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: data scientist; Task: benchmarking; Format: qa; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6493-332277.",travel classification regression-suite qa pt-br,clean,benchmark-grade,2026-02-23T04:59:32.955885Z,1.0000,ok
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+6497,"Theme: travel classification regression-suite qa pt-br; Domain: classification-production; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6497-318884.",travel classification regression-suite qa pt-br,clean,consistent,2026-02-23T04:59:32.955885Z,1.0000,ok
+6498,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; 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: 6498-657139.",travel classification regression-suite qa pt-br,cinematic,premium,2026-02-23T04:59:32.955885Z,1.0000,ok
+6499,"Theme: travel classification regression-suite qa pt-br; Domain: classification-production; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6499-476132.",travel classification regression-suite qa pt-br,stylized,high-precision,2026-02-23T04:59:32.955885Z,1.0000,ok
+6500,"Theme: travel classification regression-suite qa pt-br; Domain: classification-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: 6500-996095.",travel classification regression-suite qa pt-br,detailed,premium,2026-02-23T04:59:32.955885Z,1.0000,ok
+6501,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6501-583724.",travel classification regression-suite qa pt-br,production-ready,consistent,2026-02-23T04:59:32.955885Z,1.0000,ok
+6502,"Theme: travel classification regression-suite qa pt-br; Domain: classification; 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: 6502-316775.",travel classification regression-suite qa pt-br,detailed,consistent,2026-02-23T04:59:32.955885Z,1.0000,ok
+6503,"Theme: travel classification regression-suite qa pt-br; Domain: classification-qa; 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: 6503-815442.",travel classification regression-suite qa pt-br,detailed,benchmark-grade,2026-02-23T04:59:32.955885Z,1.0000,ok
+6504,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; 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: 6504-722540.",travel classification regression-suite qa pt-br,clean,high-precision,2026-02-23T04:59:32.955885Z,1.0000,ok
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+6570,"Theme: travel classification regression-suite qa pt-br; Domain: classification-qa; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6570-871628.",travel classification regression-suite qa pt-br,production-ready,benchmark-grade,2026-02-23T04:59:32.955885Z,1.0000,ok
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+6572,"Theme: travel classification regression-suite qa pt-br; Domain: classification-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: 6572-149091.",travel classification regression-suite qa pt-br,detailed,high-precision,2026-02-23T04:59:32.955885Z,1.0000,ok
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+6583,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; Persona: platform engineer; Task: grounding-check; Format: qa; Language: PT_BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6583-306676.",travel classification regression-suite qa pt-br,minimal,benchmark-grade,2026-02-23T04:59:32.955885Z,1.0000,ok
+6584,"Theme: travel classification regression-suite qa pt-br; Domain: classification-qa; Persona: data scientist; Task: benchmarking; Format: long-context; Language: PT_BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6584-601430.",travel classification regression-suite qa pt-br,minimal,commercial,2026-02-23T04:59:32.955885Z,1.0000,ok
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+6590,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: ml engineer; Task: grounding-check; Format: qa; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6590-217940.",travel classification regression-suite qa pt-br,detailed,high-precision,2026-02-23T04:59:32.955885Z,1.0000,ok
+6591,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; Persona: platform engineer; Task: quality-check; Format: qa; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6591-490276.",travel classification regression-suite qa pt-br,clean,high-precision,2026-02-23T04:59:32.955885Z,1.0000,ok
+6592,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: platform engineer; Task: robustness-check; Format: qa; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6592-367057.",travel classification regression-suite qa pt-br,production-ready,commercial,2026-02-23T04:59:32.955885Z,1.0000,ok
+6593,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT_BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6593-775358.",travel classification regression-suite qa pt-br,stylized,commercial,2026-02-23T04:59:32.955885Z,1.0000,ok
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+6595,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; Persona: ml engineer; Task: grounding-check; Format: qa; Language: PT_BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6595-555340.",travel classification regression-suite qa pt-br,production-ready,high-precision,2026-02-23T04:59:32.955885Z,1.0000,ok
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+6599,"Theme: travel classification regression-suite qa pt-br; Domain: classification-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: 6599-190370.",travel classification regression-suite qa pt-br,minimal,commercial,2026-02-23T04:59:32.955885Z,1.0000,ok
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+6636,"Theme: travel classification regression-suite qa pt-br; Domain: classification; 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: 6636-354187.",travel classification regression-suite qa pt-br,clean,consistent,2026-02-23T04:59:32.955885Z,1.0000,ok
+6637,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6637-284965.",travel classification regression-suite qa pt-br,stylized,benchmark-grade,2026-02-23T04:59:32.955885Z,1.0000,ok
+6638,"Theme: travel classification regression-suite qa pt-br; Domain: classification; 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: 6638-165060.",travel classification regression-suite qa pt-br,minimal,premium,2026-02-23T04:59:32.955885Z,1.0000,ok
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+6704,"Theme: travel classification regression-suite qa pt-br; Domain: classification-qa; 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: 6704-694095.",travel classification regression-suite qa pt-br,detailed,high-precision,2026-02-23T04:59:32.955885Z,1.0000,ok
+6705,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6705-720026.",travel classification regression-suite qa pt-br,production-ready,commercial,2026-02-23T04:59:32.955885Z,1.0000,ok
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+6710,"Theme: travel classification regression-suite qa pt-br; Domain: classification; 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: 6710-330415.",travel classification regression-suite qa pt-br,production-ready,commercial,2026-02-23T04:59:32.955885Z,1.0000,ok
+6711,"Theme: travel classification regression-suite qa pt-br; Domain: classification-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: 6711-258298.",travel classification regression-suite qa pt-br,stylized,premium,2026-02-23T04:59:32.955885Z,1.0000,ok
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+6714,"Theme: travel classification regression-suite qa pt-br; Domain: classification-production; Persona: data scientist; Task: robustness-check; Format: qa; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6714-105496.",travel classification regression-suite qa pt-br,clean,benchmark-grade,2026-02-23T04:59:32.955885Z,1.0000,ok
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+6716,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: ml engineer; Task: robustness-check; Format: qa; Language: PT_BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6716-759293.",travel classification regression-suite qa pt-br,stylized,commercial,2026-02-23T04:59:32.955885Z,1.0000,ok
+6717,"Theme: travel classification regression-suite qa pt-br; Domain: classification-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: 6717-381518.",travel classification regression-suite qa pt-br,clean,commercial,2026-02-23T04:59:32.955885Z,1.0000,ok
+6718,"Theme: travel classification regression-suite qa pt-br; Domain: classification-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: 6718-565575.",travel classification regression-suite qa pt-br,minimal,consistent,2026-02-23T04:59:32.955885Z,1.0000,ok
+6719,"Theme: travel classification regression-suite qa pt-br; Domain: classification-production; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6719-152723.",travel classification regression-suite qa pt-br,production-ready,benchmark-grade,2026-02-23T04:59:32.955885Z,1.0000,ok
+6720,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: ml engineer; Task: robustness-check; Format: qa; Language: PT_BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6720-748306.",travel classification regression-suite qa pt-br,production-ready,commercial,2026-02-23T04:59:32.955885Z,1.0000,ok
+6721,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; Persona: data scientist; Task: benchmarking; Format: qa; Language: PT_BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6721-563534.",travel classification regression-suite qa pt-br,minimal,consistent,2026-02-23T04:59:32.955885Z,1.0000,ok
+6722,"Theme: travel classification regression-suite qa pt-br; Domain: classification-qa; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: PT_BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6722-151161.",travel classification regression-suite qa pt-br,minimal,commercial,2026-02-23T04:59:32.955885Z,1.0000,ok
+6723,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6723-315352.",travel classification regression-suite qa pt-br,detailed,high-precision,2026-02-23T04:59:32.955885Z,1.0000,ok
+6724,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT_BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6724-758313.",travel classification regression-suite qa pt-br,minimal,premium,2026-02-23T04:59:32.955885Z,1.0000,ok
+6725,"Theme: travel classification regression-suite qa pt-br; Domain: classification-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: 6725-480826.",travel classification regression-suite qa pt-br,stylized,high-precision,2026-02-23T04:59:32.955885Z,1.0000,ok
+6726,"Theme: travel classification regression-suite qa pt-br; Domain: classification-production; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: PT_BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6726-643922.",travel classification regression-suite qa pt-br,stylized,premium,2026-02-23T04:59:32.955885Z,1.0000,ok
+6727,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6727-538315.",travel classification regression-suite qa pt-br,production-ready,high-precision,2026-02-23T04:59:32.955885Z,1.0000,ok
+6728,"Theme: travel classification regression-suite qa pt-br; Domain: classification-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: 6728-888038.",travel classification regression-suite qa pt-br,cinematic,premium,2026-02-23T04:59:32.955885Z,1.0000,ok
+6729,"Theme: travel classification regression-suite qa pt-br; Domain: classification-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: 6729-803992.",travel classification regression-suite qa pt-br,cinematic,consistent,2026-02-23T04:59:32.955885Z,1.0000,ok
+6730,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: PT_BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6730-318009.",travel classification regression-suite qa pt-br,stylized,consistent,2026-02-23T04:59:32.955885Z,1.0000,ok
+6731,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; 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: 6731-255532.",travel classification regression-suite qa pt-br,production-ready,benchmark-grade,2026-02-23T04:59:32.955885Z,1.0000,ok
+6732,"Theme: travel classification regression-suite qa pt-br; Domain: classification-qa; Persona: platform engineer; Task: quality-check; Format: qa; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6732-563278.",travel classification regression-suite qa pt-br,cinematic,consistent,2026-02-23T04:59:32.955885Z,1.0000,ok
+6733,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6733-598629.",travel classification regression-suite qa pt-br,clean,consistent,2026-02-23T04:59:32.955885Z,1.0000,ok
+6734,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: PT_BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6734-136611.",travel classification regression-suite qa pt-br,production-ready,premium,2026-02-23T04:59:32.955885Z,1.0000,ok
+6735,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6735-903453.",travel classification regression-suite qa pt-br,clean,commercial,2026-02-23T04:59:32.955885Z,1.0000,ok
+6736,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; 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: 6736-343118.",travel classification regression-suite qa pt-br,cinematic,high-precision,2026-02-23T04:59:32.955885Z,1.0000,ok
+6737,"Theme: travel classification regression-suite qa pt-br; Domain: classification-qa; 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: 6737-325346.",travel classification regression-suite qa pt-br,minimal,benchmark-grade,2026-02-23T04:59:32.955885Z,1.0000,ok
+6738,"Theme: travel classification regression-suite qa pt-br; Domain: classification-production; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: PT_BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6738-941094.",travel classification regression-suite qa pt-br,stylized,consistent,2026-02-23T04:59:32.955885Z,1.0000,ok
+6739,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: data scientist; Task: grounding-check; Format: qa; Language: PT_BR; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6739-731284.",travel classification regression-suite qa pt-br,production-ready,commercial,2026-02-23T04:59:32.955885Z,1.0000,ok
+6740,"Theme: travel classification regression-suite qa pt-br; Domain: classification; 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: 6740-919261.",travel classification regression-suite qa pt-br,clean,commercial,2026-02-23T04:59:32.955885Z,1.0000,ok
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+6745,"Theme: travel classification regression-suite qa pt-br; Domain: classification-qa; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: PT_BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6745-479209.",travel classification regression-suite qa pt-br,production-ready,commercial,2026-02-23T04:59:32.955885Z,1.0000,ok
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+6767,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; 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: 6767-596022.",travel classification regression-suite qa pt-br,cinematic,premium,2026-02-23T04:59:32.955885Z,1.0000,ok
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+6770,"Theme: travel classification regression-suite qa pt-br; Domain: classification-production; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6770-723700.",travel classification regression-suite qa pt-br,cinematic,premium,2026-02-23T04:59:32.955885Z,1.0000,ok
+6771,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; 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: 6771-197647.",travel classification regression-suite qa pt-br,detailed,benchmark-grade,2026-02-23T04:59:32.955885Z,1.0000,ok
+6772,"Theme: travel classification regression-suite qa pt-br; Domain: classification; 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: 6772-285908.",travel classification regression-suite qa pt-br,minimal,benchmark-grade,2026-02-23T04:59:32.955885Z,1.0000,ok
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+6782,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; Persona: data scientist; Task: benchmarking; Format: long-context; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6782-196581.",travel classification regression-suite qa pt-br,detailed,commercial,2026-02-23T04:59:32.955885Z,1.0000,ok
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+6790,"Theme: travel classification regression-suite qa pt-br; Domain: classification-production; Persona: data scientist; Task: quality-check; Format: qa; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6790-990008.",travel classification regression-suite qa pt-br,clean,benchmark-grade,2026-02-23T04:59:32.955885Z,1.0000,ok
+6791,"Theme: travel classification regression-suite qa pt-br; Domain: classification-qa; Persona: data scientist; Task: grounding-check; Format: qa; Language: PT_BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6791-634251.",travel classification regression-suite qa pt-br,minimal,premium,2026-02-23T04:59:32.955885Z,1.0000,ok
+6792,"Theme: travel classification regression-suite qa pt-br; Domain: classification-qa; Persona: data scientist; Task: benchmarking; Format: qa; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6792-211513.",travel classification regression-suite qa pt-br,clean,high-precision,2026-02-23T04:59:32.955885Z,1.0000,ok
+6793,"Theme: travel classification regression-suite qa pt-br; Domain: classification-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: 6793-705227.",travel classification regression-suite qa pt-br,production-ready,commercial,2026-02-23T04:59:32.955885Z,1.0000,ok
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+6795,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6795-675670.",travel classification regression-suite qa pt-br,clean,benchmark-grade,2026-02-23T04:59:32.955885Z,1.0000,ok
+6796,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: ml engineer; Task: quality-check; Format: qa; Language: PT_BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6796-150045.",travel classification regression-suite qa pt-br,cinematic,benchmark-grade,2026-02-23T04:59:32.955885Z,1.0000,ok
+6797,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6797-608784.",travel classification regression-suite qa pt-br,stylized,consistent,2026-02-23T04:59:32.955885Z,1.0000,ok
+6798,"Theme: travel classification regression-suite qa pt-br; Domain: classification-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: 6798-580331.",travel classification regression-suite qa pt-br,clean,consistent,2026-02-23T04:59:32.955885Z,1.0000,ok
+6799,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; Persona: platform engineer; Task: quality-check; Format: long-context; Language: PT_BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6799-862100.",travel classification regression-suite qa pt-br,production-ready,premium,2026-02-23T04:59:32.955885Z,1.0000,ok
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+6801,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; Persona: ml engineer; Task: grounding-check; Format: qa; Language: PT_BR; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6801-423928.",travel classification regression-suite qa pt-br,clean,benchmark-grade,2026-02-23T04:59:32.955885Z,1.0000,ok
+6802,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6802-443982.",travel classification regression-suite qa pt-br,stylized,commercial,2026-02-23T04:59:32.955885Z,1.0000,ok
+6803,"Theme: travel classification regression-suite qa pt-br; Domain: classification-production; Persona: data scientist; Task: robustness-check; Format: qa; Language: PT_BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6803-993224.",travel classification regression-suite qa pt-br,cinematic,benchmark-grade,2026-02-23T04:59:32.955885Z,1.0000,ok
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+6806,"Theme: travel classification regression-suite qa pt-br; Domain: classification; 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: 6806-817556.",travel classification regression-suite qa pt-br,clean,consistent,2026-02-23T04:59:32.955885Z,1.0000,ok
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+6814,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6814-215934.",travel classification regression-suite qa pt-br,detailed,benchmark-grade,2026-02-23T04:59:32.955885Z,1.0000,ok
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+6831,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6831-680294.",travel classification regression-suite qa pt-br,cinematic,high-precision,2026-02-23T04:59:32.955885Z,1.0000,ok
+6832,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6832-421034.",travel classification regression-suite qa pt-br,clean,high-precision,2026-02-23T04:59:32.955885Z,1.0000,ok
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+6836,"Theme: travel classification regression-suite qa pt-br; Domain: classification-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: 6836-669081.",travel classification regression-suite qa pt-br,production-ready,consistent,2026-02-23T04:59:32.955885Z,1.0000,ok
+6837,"Theme: travel classification regression-suite qa pt-br; Domain: classification-qa; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6837-815804.",travel classification regression-suite qa pt-br,cinematic,premium,2026-02-23T04:59:32.955885Z,1.0000,ok
+6838,"Theme: travel classification regression-suite qa pt-br; Domain: classification-production; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6838-411470.",travel classification regression-suite qa pt-br,clean,premium,2026-02-23T04:59:32.955885Z,1.0000,ok
+6839,"Theme: travel classification regression-suite qa pt-br; Domain: classification-qa; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: PT_BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6839-369604.",travel classification regression-suite qa pt-br,cinematic,high-precision,2026-02-23T04:59:32.955885Z,1.0000,ok
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+6844,"Theme: travel classification regression-suite qa pt-br; Domain: classification-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: 6844-736481.",travel classification regression-suite qa pt-br,cinematic,commercial,2026-02-23T04:59:32.955885Z,1.0000,ok
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+6846,"Theme: travel classification regression-suite qa pt-br; Domain: classification-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: 6846-846617.",travel classification regression-suite qa pt-br,detailed,commercial,2026-02-23T04:59:32.955885Z,1.0000,ok
+6847,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT_BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6847-524143.",travel classification regression-suite qa pt-br,detailed,high-precision,2026-02-23T04:59:32.955885Z,1.0000,ok
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+6851,"Theme: travel classification regression-suite qa pt-br; Domain: classification-production; 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: 6851-399219.",travel classification regression-suite qa pt-br,stylized,premium,2026-02-23T04:59:32.955885Z,1.0000,ok
+6852,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: PT_BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6852-532199.",travel classification regression-suite qa pt-br,cinematic,high-precision,2026-02-23T04:59:32.955885Z,1.0000,ok
+6853,"Theme: travel classification regression-suite qa pt-br; Domain: classification-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: 6853-372147.",travel classification regression-suite qa pt-br,cinematic,benchmark-grade,2026-02-23T04:59:32.955885Z,1.0000,ok
+6854,"Theme: travel classification regression-suite qa pt-br; Domain: classification-production; Persona: data scientist; Task: benchmarking; Format: qa; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6854-109551.",travel classification regression-suite qa pt-br,clean,high-precision,2026-02-23T04:59:32.955885Z,1.0000,ok
+6855,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; 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: 6855-837768.",travel classification regression-suite qa pt-br,cinematic,high-precision,2026-02-23T04:59:32.955885Z,1.0000,ok
+6856,"Theme: travel classification regression-suite qa pt-br; Domain: classification-qa; Persona: platform engineer; Task: quality-check; Format: qa; Language: PT_BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6856-236033.",travel classification regression-suite qa pt-br,clean,benchmark-grade,2026-02-23T04:59:32.955885Z,1.0000,ok
+6857,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6857-748154.",travel classification regression-suite qa pt-br,detailed,premium,2026-02-23T04:59:32.955885Z,1.0000,ok
+6858,"Theme: travel classification regression-suite qa pt-br; Domain: classification-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: 6858-478421.",travel classification regression-suite qa pt-br,clean,premium,2026-02-23T04:59:32.955885Z,1.0000,ok
+6859,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: data scientist; Task: robustness-check; Format: long-context; Language: PT_BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6859-107371.",travel classification regression-suite qa pt-br,stylized,benchmark-grade,2026-02-23T04:59:32.955885Z,1.0000,ok
+6860,"Theme: travel classification regression-suite qa pt-br; Domain: classification-qa; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6860-415285.",travel classification regression-suite qa pt-br,minimal,benchmark-grade,2026-02-23T04:59:32.955885Z,1.0000,ok
+6861,"Theme: travel classification regression-suite qa pt-br; Domain: classification-qa; Persona: ml engineer; Task: quality-check; Format: qa; Language: PT_BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6861-623368.",travel classification regression-suite qa pt-br,clean,consistent,2026-02-23T04:59:32.955885Z,1.0000,ok
+6862,"Theme: travel classification regression-suite qa pt-br; Domain: classification-qa; Persona: platform engineer; Task: grounding-check; Format: qa; Language: PT_BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6862-193483.",travel classification regression-suite qa pt-br,stylized,high-precision,2026-02-23T04:59:32.955885Z,1.0000,ok
+6863,"Theme: travel classification regression-suite qa pt-br; Domain: classification-production; Persona: ai researcher; Task: robustness-check; Format: qa; Language: PT_BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6863-111878.",travel classification regression-suite qa pt-br,cinematic,commercial,2026-02-23T04:59:32.955885Z,1.0000,ok
+6864,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: PT_BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6864-361768.",travel classification regression-suite qa pt-br,detailed,commercial,2026-02-23T04:59:32.955885Z,1.0000,ok
+6865,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; Persona: platform engineer; Task: robustness-check; Format: qa; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6865-491583.",travel classification regression-suite qa pt-br,minimal,commercial,2026-02-23T04:59:32.955885Z,1.0000,ok
+6866,"Theme: travel classification regression-suite qa pt-br; Domain: classification-qa; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT_BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6866-134822.",travel classification regression-suite qa pt-br,production-ready,benchmark-grade,2026-02-23T04:59:32.955885Z,1.0000,ok
+6867,"Theme: travel classification regression-suite qa pt-br; Domain: classification-qa; 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: 6867-933149.",travel classification regression-suite qa pt-br,minimal,benchmark-grade,2026-02-23T04:59:32.955885Z,1.0000,ok
+6868,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6868-274497.",travel classification regression-suite qa pt-br,cinematic,high-precision,2026-02-23T04:59:32.955885Z,1.0000,ok
+6869,"Theme: travel classification regression-suite qa pt-br; Domain: classification-qa; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6869-138822.",travel classification regression-suite qa pt-br,detailed,consistent,2026-02-23T04:59:32.955885Z,1.0000,ok
+6870,"Theme: travel classification regression-suite qa pt-br; Domain: classification-production; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6870-272937.",travel classification regression-suite qa pt-br,cinematic,commercial,2026-02-23T04:59:32.955885Z,1.0000,ok
+6871,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: ai researcher; Task: benchmarking; Format: qa; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6871-697609.",travel classification regression-suite qa pt-br,minimal,premium,2026-02-23T04:59:32.955885Z,1.0000,ok
+6872,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6872-531964.",travel classification regression-suite qa pt-br,cinematic,commercial,2026-02-23T04:59:32.955885Z,1.0000,ok
+6873,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: ai researcher; Task: grounding-check; Format: qa; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6873-609762.",travel classification regression-suite qa pt-br,detailed,high-precision,2026-02-23T04:59:32.955885Z,1.0000,ok
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+6875,"Theme: travel classification regression-suite qa pt-br; Domain: classification; 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: 6875-673099.",travel classification regression-suite qa pt-br,minimal,premium,2026-02-23T04:59:32.955885Z,1.0000,ok
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+6897,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6897-557398.",travel classification regression-suite qa pt-br,production-ready,premium,2026-02-23T04:59:32.955885Z,1.0000,ok
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+6899,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: platform engineer; Task: quality-check; Format: qa; Language: PT_BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6899-424397.",travel classification regression-suite qa pt-br,minimal,premium,2026-02-23T04:59:32.955885Z,1.0000,ok
+6900,"Theme: travel classification regression-suite qa pt-br; Domain: classification-production; Persona: data scientist; Task: grounding-check; Format: qa; Language: PT_BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6900-878966.",travel classification regression-suite qa pt-br,cinematic,high-precision,2026-02-23T04:59:32.955885Z,1.0000,ok
+6901,"Theme: travel classification regression-suite qa pt-br; Domain: classification-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: 6901-687731.",travel classification regression-suite qa pt-br,clean,consistent,2026-02-23T04:59:32.955885Z,1.0000,ok
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+6903,"Theme: travel classification regression-suite qa pt-br; Domain: classification-production; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6903-571669.",travel classification regression-suite qa pt-br,cinematic,benchmark-grade,2026-02-23T04:59:32.955885Z,1.0000,ok
+6904,"Theme: travel classification regression-suite qa pt-br; Domain: classification-production; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: PT_BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6904-676074.",travel classification regression-suite qa pt-br,detailed,benchmark-grade,2026-02-23T04:59:32.955885Z,1.0000,ok
+6905,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; 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: 6905-449987.",travel classification regression-suite qa pt-br,production-ready,consistent,2026-02-23T04:59:32.955885Z,1.0000,ok
+6906,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6906-642226.",travel classification regression-suite qa pt-br,cinematic,benchmark-grade,2026-02-23T04:59:32.955885Z,1.0000,ok
+6907,"Theme: travel classification regression-suite qa pt-br; Domain: classification-production; Persona: ai researcher; Task: quality-check; Format: long-context; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6907-517530.",travel classification regression-suite qa pt-br,detailed,premium,2026-02-23T04:59:32.955885Z,1.0000,ok
+6908,"Theme: travel classification regression-suite qa pt-br; Domain: classification-production; Persona: data scientist; Task: robustness-check; Format: qa; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6908-206090.",travel classification regression-suite qa pt-br,cinematic,consistent,2026-02-23T04:59:32.955885Z,1.0000,ok
+6909,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; 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: 6909-357115.",travel classification regression-suite qa pt-br,production-ready,premium,2026-02-23T04:59:32.955885Z,1.0000,ok
+6910,"Theme: travel classification regression-suite qa pt-br; Domain: classification; 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: 6910-165035.",travel classification regression-suite qa pt-br,clean,premium,2026-02-23T04:59:32.955885Z,1.0000,ok
+6911,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: platform engineer; Task: quality-check; Format: long-context; Language: PT_BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6911-466992.",travel classification regression-suite qa pt-br,detailed,commercial,2026-02-23T04:59:32.955885Z,1.0000,ok
+6912,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: PT_BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6912-403690.",travel classification regression-suite qa pt-br,production-ready,consistent,2026-02-23T04:59:32.955885Z,1.0000,ok
+6913,"Theme: travel classification regression-suite qa pt-br; Domain: classification-qa; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6913-226119.",travel classification regression-suite qa pt-br,minimal,commercial,2026-02-23T04:59:32.955885Z,1.0000,ok
+6914,"Theme: travel classification regression-suite qa pt-br; Domain: classification-production; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: PT_BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6914-759030.",travel classification regression-suite qa pt-br,clean,premium,2026-02-23T04:59:32.955885Z,1.0000,ok
+6915,"Theme: travel classification regression-suite qa pt-br; Domain: classification-qa; Persona: platform engineer; Task: benchmarking; Format: qa; Language: PT_BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6915-157667.",travel classification regression-suite qa pt-br,production-ready,consistent,2026-02-23T04:59:32.955885Z,1.0000,ok
+6916,"Theme: travel classification regression-suite qa pt-br; Domain: classification-production; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6916-783644.",travel classification regression-suite qa pt-br,stylized,high-precision,2026-02-23T04:59:32.955885Z,1.0000,ok
+6917,"Theme: travel classification regression-suite qa pt-br; Domain: classification-production; Persona: ai researcher; Task: benchmarking; Format: qa; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6917-340385.",travel classification regression-suite qa pt-br,clean,consistent,2026-02-23T04:59:32.955885Z,1.0000,ok
+6918,"Theme: travel classification regression-suite qa pt-br; Domain: classification; 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: 6918-647888.",travel classification regression-suite qa pt-br,clean,premium,2026-02-23T04:59:32.955885Z,1.0000,ok
+6919,"Theme: travel classification regression-suite qa pt-br; Domain: classification-production; Persona: data scientist; Task: grounding-check; Format: qa; Language: PT_BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6919-854953.",travel classification regression-suite qa pt-br,stylized,high-precision,2026-02-23T04:59:32.955885Z,1.0000,ok
+6920,"Theme: travel classification regression-suite qa pt-br; Domain: classification-production; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6920-219849.",travel classification regression-suite qa pt-br,cinematic,high-precision,2026-02-23T04:59:32.955885Z,1.0000,ok
+6921,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: data scientist; Task: quality-check; Format: long-context; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6921-147866.",travel classification regression-suite qa pt-br,production-ready,commercial,2026-02-23T04:59:32.955885Z,1.0000,ok
+6922,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: platform engineer; Task: robustness-check; Format: qa; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6922-897704.",travel classification regression-suite qa pt-br,clean,premium,2026-02-23T04:59:32.955885Z,1.0000,ok
+6923,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6923-498026.",travel classification regression-suite qa pt-br,clean,commercial,2026-02-23T04:59:32.955885Z,1.0000,ok
+6924,"Theme: travel classification regression-suite qa pt-br; Domain: classification-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: 6924-488174.",travel classification regression-suite qa pt-br,production-ready,consistent,2026-02-23T04:59:32.955885Z,1.0000,ok
+6925,"Theme: travel classification regression-suite qa pt-br; Domain: classification-production; Persona: data scientist; Task: quality-check; Format: long-context; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6925-868917.",travel classification regression-suite qa pt-br,cinematic,consistent,2026-02-23T04:59:32.955885Z,1.0000,ok
+6926,"Theme: travel classification regression-suite qa pt-br; Domain: classification-production; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6926-371191.",travel classification regression-suite qa pt-br,minimal,commercial,2026-02-23T04:59:32.955885Z,1.0000,ok
+6927,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: PT_BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6927-756815.",travel classification regression-suite qa pt-br,stylized,premium,2026-02-23T04:59:32.955885Z,1.0000,ok
+6928,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6928-411361.",travel classification regression-suite qa pt-br,minimal,commercial,2026-02-23T04:59:32.955885Z,1.0000,ok
+6929,"Theme: travel classification regression-suite qa pt-br; Domain: classification-qa; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6929-950921.",travel classification regression-suite qa pt-br,cinematic,benchmark-grade,2026-02-23T04:59:32.955885Z,1.0000,ok
+6930,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT_BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6930-629182.",travel classification regression-suite qa pt-br,cinematic,commercial,2026-02-23T04:59:32.955885Z,1.0000,ok
+6931,"Theme: travel classification regression-suite qa pt-br; Domain: classification-production; Persona: platform engineer; Task: grounding-check; Format: qa; Language: PT_BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6931-961511.",travel classification regression-suite qa pt-br,cinematic,commercial,2026-02-23T04:59:32.955885Z,1.0000,ok
+6932,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6932-340864.",travel classification regression-suite qa pt-br,minimal,consistent,2026-02-23T04:59:32.955885Z,1.0000,ok
+6933,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: data scientist; Task: benchmarking; Format: long-context; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6933-767331.",travel classification regression-suite qa pt-br,stylized,benchmark-grade,2026-02-23T04:59:32.955885Z,1.0000,ok
+6934,"Theme: travel classification regression-suite qa pt-br; Domain: classification-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: 6934-909671.",travel classification regression-suite qa pt-br,clean,premium,2026-02-23T04:59:32.955885Z,1.0000,ok
+6935,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6935-852299.",travel classification regression-suite qa pt-br,cinematic,benchmark-grade,2026-02-23T04:59:32.955885Z,1.0000,ok
+6936,"Theme: travel classification regression-suite qa pt-br; Domain: classification-production; Persona: ml engineer; Task: robustness-check; Format: qa; Language: PT_BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6936-945554.",travel classification regression-suite qa pt-br,minimal,premium,2026-02-23T04:59:32.955885Z,1.0000,ok
+6937,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; 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: 6937-821009.",travel classification regression-suite qa pt-br,cinematic,premium,2026-02-23T04:59:32.955885Z,1.0000,ok
+6938,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; 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: 6938-638451.",travel classification regression-suite qa pt-br,detailed,benchmark-grade,2026-02-23T04:59:32.955885Z,1.0000,ok
+6939,"Theme: travel classification regression-suite qa pt-br; Domain: classification-qa; Persona: ai researcher; Task: benchmarking; Format: qa; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6939-964438.",travel classification regression-suite qa pt-br,production-ready,commercial,2026-02-23T04:59:32.955885Z,1.0000,ok
+6940,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; 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: 6940-762415.",travel classification regression-suite qa pt-br,detailed,commercial,2026-02-23T04:59:32.955885Z,1.0000,ok
+6941,"Theme: travel classification regression-suite qa pt-br; Domain: classification; 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: 6941-741988.",travel classification regression-suite qa pt-br,stylized,benchmark-grade,2026-02-23T04:59:32.955885Z,1.0000,ok
+6942,"Theme: travel classification regression-suite qa pt-br; Domain: classification-production; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6942-389294.",travel classification regression-suite qa pt-br,production-ready,premium,2026-02-23T04:59:32.955885Z,1.0000,ok
+6943,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: ai researcher; Task: benchmarking; Format: qa; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6943-716118.",travel classification regression-suite qa pt-br,cinematic,benchmark-grade,2026-02-23T04:59:32.955885Z,1.0000,ok
+6944,"Theme: travel classification regression-suite qa pt-br; Domain: classification-production; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: PT_BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6944-960140.",travel classification regression-suite qa pt-br,production-ready,commercial,2026-02-23T04:59:32.955885Z,1.0000,ok
+6945,"Theme: travel classification regression-suite qa pt-br; Domain: classification-production; Persona: ml engineer; Task: quality-check; Format: qa; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6945-614220.",travel classification regression-suite qa pt-br,detailed,high-precision,2026-02-23T04:59:32.955885Z,1.0000,ok
+6946,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; Persona: ai researcher; Task: robustness-check; Format: qa; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6946-167771.",travel classification regression-suite qa pt-br,clean,high-precision,2026-02-23T04:59:32.955885Z,1.0000,ok
+6947,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; Persona: data scientist; Task: benchmarking; Format: qa; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6947-298479.",travel classification regression-suite qa pt-br,clean,premium,2026-02-23T04:59:32.955885Z,1.0000,ok
+6948,"Theme: travel classification regression-suite qa pt-br; Domain: classification-production; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6948-217519.",travel classification regression-suite qa pt-br,stylized,high-precision,2026-02-23T04:59:32.955885Z,1.0000,ok
+6949,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; Persona: data scientist; Task: benchmarking; Format: long-context; Language: PT_BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6949-645736.",travel classification regression-suite qa pt-br,stylized,consistent,2026-02-23T04:59:32.955885Z,1.0000,ok
+6950,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; 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: 6950-244472.",travel classification regression-suite qa pt-br,minimal,benchmark-grade,2026-02-23T04:59:32.955885Z,1.0000,ok
+6951,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6951-902432.",travel classification regression-suite qa pt-br,minimal,premium,2026-02-23T04:59:32.955885Z,1.0000,ok
+6952,"Theme: travel classification regression-suite qa pt-br; Domain: classification-production; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: PT_BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6952-412711.",travel classification regression-suite qa pt-br,production-ready,premium,2026-02-23T04:59:32.955885Z,1.0000,ok
+6953,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: ai researcher; Task: grounding-check; Format: qa; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6953-807902.",travel classification regression-suite qa pt-br,detailed,benchmark-grade,2026-02-23T04:59:32.955885Z,1.0000,ok
+6954,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; Persona: ai researcher; Task: robustness-check; Format: qa; Language: PT_BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6954-655815.",travel classification regression-suite qa pt-br,detailed,benchmark-grade,2026-02-23T04:59:32.955885Z,1.0000,ok
+6955,"Theme: travel classification regression-suite qa pt-br; Domain: classification-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: 6955-577802.",travel classification regression-suite qa pt-br,cinematic,commercial,2026-02-23T04:59:32.955885Z,1.0000,ok
+6956,"Theme: travel classification regression-suite qa pt-br; Domain: classification-production; Persona: platform engineer; Task: quality-check; Format: qa; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6956-461988.",travel classification regression-suite qa pt-br,production-ready,premium,2026-02-23T04:59:32.955885Z,1.0000,ok
+6957,"Theme: travel classification regression-suite qa pt-br; Domain: classification-production; 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: 6957-157196.",travel classification regression-suite qa pt-br,clean,premium,2026-02-23T04:59:32.955885Z,1.0000,ok
+6958,"Theme: travel classification regression-suite qa pt-br; Domain: classification-production; Persona: ai researcher; Task: quality-check; Format: qa; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6958-785253.",travel classification regression-suite qa pt-br,stylized,benchmark-grade,2026-02-23T04:59:32.955885Z,1.0000,ok
+6959,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6959-310957.",travel classification regression-suite qa pt-br,clean,benchmark-grade,2026-02-23T04:59:32.955885Z,1.0000,ok
+6960,"Theme: travel classification regression-suite qa pt-br; Domain: classification-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: 6960-218926.",travel classification regression-suite qa pt-br,production-ready,benchmark-grade,2026-02-23T04:59:32.955885Z,1.0000,ok
+6961,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6961-924166.",travel classification regression-suite qa pt-br,minimal,high-precision,2026-02-23T04:59:32.955885Z,1.0000,ok
+6962,"Theme: travel classification regression-suite qa pt-br; Domain: classification-qa; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6962-489504.",travel classification regression-suite qa pt-br,minimal,commercial,2026-02-23T04:59:32.955885Z,1.0000,ok
+6963,"Theme: travel classification regression-suite qa pt-br; Domain: classification-production; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6963-512374.",travel classification regression-suite qa pt-br,production-ready,premium,2026-02-23T04:59:32.955885Z,1.0000,ok
+6964,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6964-192027.",travel classification regression-suite qa pt-br,detailed,benchmark-grade,2026-02-23T04:59:32.955885Z,1.0000,ok
+6965,"Theme: travel classification regression-suite qa pt-br; Domain: classification-production; Persona: platform engineer; Task: quality-check; Format: qa; Language: PT_BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6965-786100.",travel classification regression-suite qa pt-br,clean,high-precision,2026-02-23T04:59:32.955885Z,1.0000,ok
+6966,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT_BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6966-160740.",travel classification regression-suite qa pt-br,detailed,high-precision,2026-02-23T04:59:32.955885Z,1.0000,ok
+6967,"Theme: travel classification regression-suite qa pt-br; Domain: classification-qa; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6967-256870.",travel classification regression-suite qa pt-br,cinematic,premium,2026-02-23T04:59:32.955885Z,1.0000,ok
+6968,"Theme: travel classification regression-suite qa pt-br; Domain: classification-production; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6968-324292.",travel classification regression-suite qa pt-br,minimal,consistent,2026-02-23T04:59:32.955885Z,1.0000,ok
+6969,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT_BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6969-761884.",travel classification regression-suite qa pt-br,stylized,commercial,2026-02-23T04:59:32.955885Z,1.0000,ok
+6970,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; Persona: ml engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6970-341228.",travel classification regression-suite qa pt-br,clean,consistent,2026-02-23T04:59:32.955885Z,1.0000,ok
+6971,"Theme: travel classification regression-suite qa pt-br; Domain: classification-production; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6971-259205.",travel classification regression-suite qa pt-br,clean,consistent,2026-02-23T04:59:32.955885Z,1.0000,ok
+6972,"Theme: travel classification regression-suite qa pt-br; Domain: classification; 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: 6972-668415.",travel classification regression-suite qa pt-br,minimal,high-precision,2026-02-23T04:59:32.955885Z,1.0000,ok
+6973,"Theme: travel classification regression-suite qa pt-br; Domain: classification-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: 6973-694689.",travel classification regression-suite qa pt-br,clean,commercial,2026-02-23T04:59:32.955885Z,1.0000,ok
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+7037,"Theme: travel classification regression-suite qa pt-br; Domain: classification; 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: 7037-535670.",travel classification regression-suite qa pt-br,minimal,high-precision,2026-02-23T04:59:32.955885Z,1.0000,ok
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+7039,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT_BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7039-509355.",travel classification regression-suite qa pt-br,clean,benchmark-grade,2026-02-23T04:59:32.955885Z,1.0000,ok
+7040,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: PT_BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7040-799380.",travel classification regression-suite qa pt-br,clean,high-precision,2026-02-23T04:59:32.955885Z,1.0000,ok
+7041,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: platform engineer; Task: benchmarking; Format: qa; Language: PT_BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7041-603267.",travel classification regression-suite qa pt-br,minimal,high-precision,2026-02-23T04:59:32.955885Z,1.0000,ok
+7042,"Theme: travel classification regression-suite qa pt-br; Domain: classification-production; Persona: data scientist; Task: benchmarking; Format: qa; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7042-732222.",travel classification regression-suite qa pt-br,minimal,benchmark-grade,2026-02-23T04:59:32.955885Z,1.0000,ok
+7043,"Theme: travel classification regression-suite qa pt-br; Domain: classification-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: 7043-569744.",travel classification regression-suite qa pt-br,minimal,premium,2026-02-23T04:59:32.955885Z,1.0000,ok
+7044,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: ml engineer; Task: robustness-check; Format: qa; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7044-385721.",travel classification regression-suite qa pt-br,production-ready,high-precision,2026-02-23T04:59:32.955885Z,1.0000,ok
+7045,"Theme: travel classification regression-suite qa pt-br; Domain: classification-qa; Persona: data scientist; Task: robustness-check; Format: long-context; Language: PT_BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7045-123897.",travel classification regression-suite qa pt-br,production-ready,premium,2026-02-23T04:59:32.955885Z,1.0000,ok
+7046,"Theme: travel classification regression-suite qa pt-br; Domain: classification-qa; Persona: ai researcher; Task: quality-check; Format: long-context; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7046-805899.",travel classification regression-suite qa pt-br,production-ready,high-precision,2026-02-23T04:59:32.955885Z,1.0000,ok
+7047,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: PT_BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7047-547066.",travel classification regression-suite qa pt-br,stylized,premium,2026-02-23T04:59:32.955885Z,1.0000,ok
+7048,"Theme: travel classification regression-suite qa pt-br; Domain: classification; 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: 7048-465269.",travel classification regression-suite qa pt-br,minimal,benchmark-grade,2026-02-23T04:59:32.955885Z,1.0000,ok
+7049,"Theme: travel classification regression-suite qa pt-br; Domain: classification-qa; 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: 7049-715157.",travel classification regression-suite qa pt-br,minimal,consistent,2026-02-23T04:59:32.955885Z,1.0000,ok
+7050,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; Persona: platform engineer; Task: benchmarking; Format: qa; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7050-739778.",travel classification regression-suite qa pt-br,detailed,high-precision,2026-02-23T04:59:32.955885Z,1.0000,ok
+7051,"Theme: travel classification regression-suite qa pt-br; Domain: classification-production; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7051-719354.",travel classification regression-suite qa pt-br,stylized,commercial,2026-02-23T04:59:32.955885Z,1.0000,ok
+7052,"Theme: travel classification regression-suite qa pt-br; Domain: classification-production; Persona: ai researcher; Task: grounding-check; Format: qa; Language: PT_BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7052-193141.",travel classification regression-suite qa pt-br,clean,consistent,2026-02-23T04:59:32.955885Z,1.0000,ok
+7053,"Theme: travel classification regression-suite qa pt-br; Domain: classification-production; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: PT_BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7053-711045.",travel classification regression-suite qa pt-br,stylized,high-precision,2026-02-23T04:59:32.955885Z,1.0000,ok
+7054,"Theme: travel classification regression-suite qa pt-br; Domain: classification-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: 7054-544300.",travel classification regression-suite qa pt-br,stylized,benchmark-grade,2026-02-23T04:59:32.955885Z,1.0000,ok
+7055,"Theme: travel classification regression-suite qa pt-br; Domain: classification-production; Persona: data scientist; Task: robustness-check; Format: long-context; Language: PT_BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7055-682535.",travel classification regression-suite qa pt-br,clean,commercial,2026-02-23T04:59:32.955885Z,1.0000,ok
+7056,"Theme: travel classification regression-suite qa pt-br; Domain: classification-qa; Persona: ai researcher; Task: quality-check; Format: qa; Language: PT_BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7056-876669.",travel classification regression-suite qa pt-br,clean,benchmark-grade,2026-02-23T04:59:32.955885Z,1.0000,ok
+7057,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: PT_BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7057-962779.",travel classification regression-suite qa pt-br,minimal,consistent,2026-02-23T04:59:32.955885Z,1.0000,ok
+7058,"Theme: travel classification regression-suite qa pt-br; Domain: classification-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: 7058-957899.",travel classification regression-suite qa pt-br,minimal,commercial,2026-02-23T04:59:32.955885Z,1.0000,ok
+7059,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7059-115075.",travel classification regression-suite qa pt-br,clean,premium,2026-02-23T04:59:32.955885Z,1.0000,ok
+7060,"Theme: travel classification regression-suite qa pt-br; Domain: classification-qa; Persona: platform engineer; Task: quality-check; Format: qa; Language: PT_BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7060-723002.",travel classification regression-suite qa pt-br,production-ready,commercial,2026-02-23T04:59:32.955885Z,1.0000,ok
+7061,"Theme: travel classification regression-suite qa pt-br; Domain: classification-production; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT_BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7061-433128.",travel classification regression-suite qa pt-br,clean,benchmark-grade,2026-02-23T04:59:32.955885Z,1.0000,ok
+7062,"Theme: travel classification regression-suite qa pt-br; Domain: classification-production; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: PT_BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7062-719903.",travel classification regression-suite qa pt-br,cinematic,consistent,2026-02-23T04:59:32.955885Z,1.0000,ok
+7063,"Theme: travel classification regression-suite qa pt-br; Domain: classification-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: 7063-752225.",travel classification regression-suite qa pt-br,minimal,commercial,2026-02-23T04:59:32.955885Z,1.0000,ok
+7064,"Theme: travel classification regression-suite qa pt-br; Domain: classification-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: 7064-885666.",travel classification regression-suite qa pt-br,minimal,benchmark-grade,2026-02-23T04:59:32.955885Z,1.0000,ok
+7065,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: PT_BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7065-490893.",travel classification regression-suite qa pt-br,cinematic,high-precision,2026-02-23T04:59:32.955885Z,1.0000,ok
+7066,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: data scientist; Task: grounding-check; Format: qa; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7066-540231.",travel classification regression-suite qa pt-br,stylized,benchmark-grade,2026-02-23T04:59:32.955885Z,1.0000,ok
+7067,"Theme: travel classification regression-suite qa pt-br; Domain: classification-qa; 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: 7067-299716.",travel classification regression-suite qa pt-br,stylized,high-precision,2026-02-23T04:59:32.955885Z,1.0000,ok
+7068,"Theme: travel classification regression-suite qa pt-br; Domain: classification-qa; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT_BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7068-229861.",travel classification regression-suite qa pt-br,cinematic,consistent,2026-02-23T04:59:32.955885Z,1.0000,ok
+7069,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7069-232481.",travel classification regression-suite qa pt-br,detailed,benchmark-grade,2026-02-23T04:59:32.955885Z,1.0000,ok
+7070,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: ml engineer; Task: robustness-check; Format: qa; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7070-347541.",travel classification regression-suite qa pt-br,detailed,commercial,2026-02-23T04:59:32.955885Z,1.0000,ok
+7071,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7071-743909.",travel classification regression-suite qa pt-br,production-ready,high-precision,2026-02-23T04:59:32.955885Z,1.0000,ok
+7072,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7072-172859.",travel classification regression-suite qa pt-br,detailed,consistent,2026-02-23T04:59:32.955885Z,1.0000,ok
+7073,"Theme: travel classification regression-suite qa pt-br; Domain: classification-production; Persona: ai researcher; Task: benchmarking; Format: qa; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7073-108361.",travel classification regression-suite qa pt-br,stylized,commercial,2026-02-23T04:59:32.955885Z,1.0000,ok
+7074,"Theme: travel classification regression-suite qa pt-br; Domain: classification; 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: 7074-370405.",travel classification regression-suite qa pt-br,minimal,high-precision,2026-02-23T04:59:32.955885Z,1.0000,ok
+7075,"Theme: travel classification regression-suite qa pt-br; Domain: classification-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: 7075-881598.",travel classification regression-suite qa pt-br,clean,consistent,2026-02-23T04:59:32.955885Z,1.0000,ok
+7076,"Theme: travel classification regression-suite qa pt-br; Domain: classification-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: 7076-456402.",travel classification regression-suite qa pt-br,stylized,benchmark-grade,2026-02-23T04:59:32.955885Z,1.0000,ok
+7077,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; Persona: ml engineer; Task: quality-check; Format: long-context; Language: PT_BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7077-675463.",travel classification regression-suite qa pt-br,clean,commercial,2026-02-23T04:59:32.955885Z,1.0000,ok
+7078,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7078-688307.",travel classification regression-suite qa pt-br,detailed,premium,2026-02-23T04:59:32.955885Z,1.0000,ok
+7079,"Theme: travel classification regression-suite qa pt-br; Domain: classification; 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: 7079-400022.",travel classification regression-suite qa pt-br,production-ready,consistent,2026-02-23T04:59:32.955885Z,1.0000,ok
+7080,"Theme: travel classification regression-suite qa pt-br; Domain: classification-production; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: PT_BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7080-625253.",travel classification regression-suite qa pt-br,clean,premium,2026-02-23T04:59:32.955885Z,1.0000,ok
+7081,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: ai researcher; Task: grounding-check; Format: qa; Language: EN-US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7081-669531.",travel classification regression-suite qa pt-br,cinematic,high-precision,2026-02-23T04:59:32.955885Z,1.0000,ok
+7082,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; 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: 7082-162719.",travel classification regression-suite qa pt-br,production-ready,high-precision,2026-02-23T04:59:32.955885Z,1.0000,ok
+7083,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: ml engineer; Task: grounding-check; Format: qa; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7083-571731.",travel classification regression-suite qa pt-br,minimal,premium,2026-02-23T04:59:32.955885Z,1.0000,ok
+7084,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: ai researcher; Task: quality-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7084-774161.",travel classification regression-suite qa pt-br,stylized,high-precision,2026-02-23T04:59:32.955885Z,1.0000,ok
+7085,"Theme: travel classification regression-suite qa pt-br; Domain: classification-production; Persona: ml engineer; Task: benchmarking; Format: qa; Language: PT_BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7085-909655.",travel classification regression-suite qa pt-br,detailed,benchmark-grade,2026-02-23T04:59:32.955885Z,1.0000,ok
+7086,"Theme: travel classification regression-suite qa pt-br; Domain: classification-qa; Persona: platform engineer; Task: grounding-check; Format: qa; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7086-750229.",travel classification regression-suite qa pt-br,cinematic,commercial,2026-02-23T04:59:32.955885Z,1.0000,ok
+7087,"Theme: travel classification regression-suite qa pt-br; Domain: classification-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: 7087-852652.",travel classification regression-suite qa pt-br,clean,benchmark-grade,2026-02-23T04:59:32.955885Z,1.0000,ok
+7088,"Theme: travel classification regression-suite qa pt-br; Domain: classification-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: 7088-162065.",travel classification regression-suite qa pt-br,clean,high-precision,2026-02-23T04:59:32.955885Z,1.0000,ok
+7089,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT_BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7089-652102.",travel classification regression-suite qa pt-br,production-ready,consistent,2026-02-23T04:59:32.955885Z,1.0000,ok
+7090,"Theme: travel classification regression-suite qa pt-br; Domain: classification-production; 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: 7090-812670.",travel classification regression-suite qa pt-br,clean,benchmark-grade,2026-02-23T04:59:32.955885Z,1.0000,ok
+7091,"Theme: travel classification regression-suite qa pt-br; Domain: classification-qa; Persona: data scientist; Task: quality-check; Format: qa; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7091-570031.",travel classification regression-suite qa pt-br,minimal,commercial,2026-02-23T04:59:32.955885Z,1.0000,ok
+7092,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; Persona: data scientist; Task: robustness-check; Format: qa; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7092-851991.",travel classification regression-suite qa pt-br,clean,premium,2026-02-23T04:59:32.955885Z,1.0000,ok
+7093,"Theme: travel classification regression-suite qa pt-br; Domain: classification-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: 7093-147990.",travel classification regression-suite qa pt-br,detailed,high-precision,2026-02-23T04:59:32.955885Z,1.0000,ok
+7094,"Theme: travel classification regression-suite qa pt-br; Domain: classification-production; Persona: ai researcher; Task: grounding-check; Format: qa; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7094-286639.",travel classification regression-suite qa pt-br,production-ready,consistent,2026-02-23T04:59:32.955885Z,1.0000,ok
+7095,"Theme: travel classification regression-suite qa pt-br; Domain: classification-qa; Persona: ai researcher; Task: benchmarking; Format: qa; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7095-559211.",travel classification regression-suite qa pt-br,cinematic,high-precision,2026-02-23T04:59:32.955885Z,1.0000,ok
+7096,"Theme: travel classification regression-suite qa pt-br; Domain: classification-qa; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7096-807638.",travel classification regression-suite qa pt-br,stylized,premium,2026-02-23T04:59:32.955885Z,1.0000,ok
+7097,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; 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: 7097-772766.",travel classification regression-suite qa pt-br,stylized,commercial,2026-02-23T04:59:32.955885Z,1.0000,ok
+7098,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: PT_BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7098-596727.",travel classification regression-suite qa pt-br,clean,high-precision,2026-02-23T04:59:32.955885Z,1.0000,ok
+7099,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; 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: 7099-625078.",travel classification regression-suite qa pt-br,minimal,premium,2026-02-23T04:59:32.955885Z,1.0000,ok
+7100,"Theme: travel classification regression-suite qa pt-br; Domain: classification-qa; Persona: ai researcher; Task: grounding-check; Format: qa; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7100-622335.",travel classification regression-suite qa pt-br,minimal,high-precision,2026-02-23T04:59:32.955885Z,1.0000,ok
+7101,"Theme: travel classification regression-suite qa pt-br; Domain: classification-qa; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: PT_BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7101-358909.",travel classification regression-suite qa pt-br,clean,benchmark-grade,2026-02-23T04:59:32.955885Z,1.0000,ok
+7102,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: ml engineer; Task: grounding-check; Format: qa; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7102-361081.",travel classification regression-suite qa pt-br,stylized,high-precision,2026-02-23T04:59:32.955885Z,1.0000,ok
+7103,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7103-492506.",travel classification regression-suite qa pt-br,clean,benchmark-grade,2026-02-23T04:59:32.955885Z,1.0000,ok
+7104,"Theme: travel classification regression-suite qa pt-br; Domain: classification-production; Persona: ml engineer; Task: grounding-check; Format: qa; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7104-350969.",travel classification regression-suite qa pt-br,cinematic,premium,2026-02-23T04:59:32.955885Z,1.0000,ok
+7105,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: PT_BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7105-887779.",travel classification regression-suite qa pt-br,stylized,benchmark-grade,2026-02-23T04:59:32.955885Z,1.0000,ok
+7106,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; Persona: ml engineer; Task: quality-check; Format: long-context; Language: PT_BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7106-835864.",travel classification regression-suite qa pt-br,clean,premium,2026-02-23T04:59:32.955885Z,1.0000,ok
+7107,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7107-411023.",travel classification regression-suite qa pt-br,stylized,commercial,2026-02-23T04:59:32.955885Z,1.0000,ok
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+7115,"Theme: travel classification regression-suite qa pt-br; Domain: classification-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: 7115-998375.",travel classification regression-suite qa pt-br,production-ready,commercial,2026-02-23T04:59:32.955885Z,1.0000,ok
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+7117,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; 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: 7117-204851.",travel classification regression-suite qa pt-br,detailed,premium,2026-02-23T04:59:32.955885Z,1.0000,ok
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+7120,"Theme: travel classification regression-suite qa pt-br; Domain: classification-production; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7120-873081.",travel classification regression-suite qa pt-br,detailed,high-precision,2026-02-23T04:59:32.955885Z,1.0000,ok
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+7122,"Theme: travel classification regression-suite qa pt-br; Domain: classification; 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: 7122-786543.",travel classification regression-suite qa pt-br,clean,commercial,2026-02-23T04:59:32.955885Z,1.0000,ok
+7123,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT_BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7123-193185.",travel classification regression-suite qa pt-br,clean,benchmark-grade,2026-02-23T04:59:32.955885Z,1.0000,ok
+7124,"Theme: travel classification regression-suite qa pt-br; Domain: classification-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: 7124-752723.",travel classification regression-suite qa pt-br,minimal,high-precision,2026-02-23T04:59:32.955885Z,1.0000,ok
+7125,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7125-118722.",travel classification regression-suite qa pt-br,clean,benchmark-grade,2026-02-23T04:59:32.955885Z,1.0000,ok
+7126,"Theme: travel classification regression-suite qa pt-br; Domain: classification-qa; Persona: ml engineer; Task: benchmarking; Format: qa; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7126-305121.",travel classification regression-suite qa pt-br,clean,commercial,2026-02-23T04:59:32.955885Z,1.0000,ok
+7127,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT_BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7127-739599.",travel classification regression-suite qa pt-br,clean,premium,2026-02-23T04:59:32.955885Z,1.0000,ok
+7128,"Theme: travel classification regression-suite qa pt-br; Domain: classification-qa; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: PT_BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7128-877459.",travel classification regression-suite qa pt-br,cinematic,consistent,2026-02-23T04:59:32.955885Z,1.0000,ok
+7129,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7129-324944.",travel classification regression-suite qa pt-br,stylized,high-precision,2026-02-23T04:59:32.955885Z,1.0000,ok
+7130,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7130-868423.",travel classification regression-suite qa pt-br,clean,premium,2026-02-23T04:59:32.955885Z,1.0000,ok
+7131,"Theme: travel classification regression-suite qa pt-br; Domain: classification-qa; 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: 7131-767920.",travel classification regression-suite qa pt-br,stylized,benchmark-grade,2026-02-23T04:59:32.955885Z,1.0000,ok
+7132,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7132-766228.",travel classification regression-suite qa pt-br,stylized,commercial,2026-02-23T04:59:32.955885Z,1.0000,ok
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+7134,"Theme: travel classification regression-suite qa pt-br; Domain: classification-production; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7134-440891.",travel classification regression-suite qa pt-br,clean,high-precision,2026-02-23T04:59:32.955885Z,1.0000,ok
+7135,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; Persona: data scientist; Task: grounding-check; Format: qa; Language: PT_BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7135-489956.",travel classification regression-suite qa pt-br,stylized,high-precision,2026-02-23T04:59:32.955885Z,1.0000,ok
+7136,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; Persona: ml engineer; Task: grounding-check; Format: qa; Language: PT_BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7136-522432.",travel classification regression-suite qa pt-br,production-ready,high-precision,2026-02-23T04:59:32.955885Z,1.0000,ok
+7137,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: PT_BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7137-576096.",travel classification regression-suite qa pt-br,production-ready,premium,2026-02-23T04:59:32.955885Z,1.0000,ok
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+7141,"Theme: travel classification regression-suite qa pt-br; Domain: classification-production; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7141-630218.",travel classification regression-suite qa pt-br,clean,consistent,2026-02-23T04:59:32.955885Z,1.0000,ok
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+7171,"Theme: travel classification regression-suite qa pt-br; Domain: classification-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: 7171-391976.",travel classification regression-suite qa pt-br,production-ready,benchmark-grade,2026-02-23T04:59:32.955885Z,1.0000,ok
+7172,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7172-722590.",travel classification regression-suite qa pt-br,production-ready,consistent,2026-02-23T04:59:32.955885Z,1.0000,ok
+7173,"Theme: travel classification regression-suite qa pt-br; Domain: classification-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: 7173-662483.",travel classification regression-suite qa pt-br,minimal,benchmark-grade,2026-02-23T04:59:32.955885Z,1.0000,ok
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+7185,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: PT_BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7185-259062.",travel classification regression-suite qa pt-br,stylized,consistent,2026-02-23T04:59:32.955885Z,1.0000,ok
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+7192,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: PT_BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7192-582615.",travel classification regression-suite qa pt-br,production-ready,commercial,2026-02-23T04:59:32.955885Z,1.0000,ok
+7193,"Theme: travel classification regression-suite qa pt-br; Domain: classification-production; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: PT_BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7193-365583.",travel classification regression-suite qa pt-br,cinematic,premium,2026-02-23T04:59:32.955885Z,1.0000,ok
+7194,"Theme: travel classification regression-suite qa pt-br; Domain: classification-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: 7194-568391.",travel classification regression-suite qa pt-br,detailed,high-precision,2026-02-23T04:59:32.955885Z,1.0000,ok
+7195,"Theme: travel classification regression-suite qa pt-br; Domain: classification-qa; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7195-521771.",travel classification regression-suite qa pt-br,detailed,premium,2026-02-23T04:59:32.955885Z,1.0000,ok
+7196,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; Persona: ai researcher; Task: robustness-check; Format: qa; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7196-226597.",travel classification regression-suite qa pt-br,stylized,consistent,2026-02-23T04:59:32.955885Z,1.0000,ok
+7197,"Theme: travel classification regression-suite qa pt-br; Domain: classification-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: 7197-663970.",travel classification regression-suite qa pt-br,stylized,consistent,2026-02-23T04:59:32.955885Z,1.0000,ok
+7198,"Theme: travel classification regression-suite qa pt-br; Domain: classification; 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: 7198-929595.",travel classification regression-suite qa pt-br,clean,premium,2026-02-23T04:59:32.955885Z,1.0000,ok
+7199,"Theme: travel classification regression-suite qa pt-br; Domain: classification-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: 7199-545697.",travel classification regression-suite qa pt-br,cinematic,premium,2026-02-23T04:59:32.955885Z,1.0000,ok
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+7201,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; Persona: ml engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7201-434686.",travel classification regression-suite qa pt-br,cinematic,high-precision,2026-02-23T04:59:32.955885Z,1.0000,ok
+7202,"Theme: travel classification regression-suite qa pt-br; Domain: classification-qa; Persona: ml engineer; Task: grounding-check; Format: qa; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7202-743150.",travel classification regression-suite qa pt-br,stylized,commercial,2026-02-23T04:59:32.955885Z,1.0000,ok
+7203,"Theme: travel classification regression-suite qa pt-br; Domain: classification-production; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7203-630307.",travel classification regression-suite qa pt-br,cinematic,commercial,2026-02-23T04:59:32.955885Z,1.0000,ok
+7204,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7204-560097.",travel classification regression-suite qa pt-br,production-ready,premium,2026-02-23T04:59:32.955885Z,1.0000,ok
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+7239,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: PT_BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7239-143669.",travel classification regression-suite qa pt-br,cinematic,benchmark-grade,2026-02-23T04:59:32.955885Z,1.0000,ok
+7240,"Theme: travel classification regression-suite qa pt-br; Domain: classification-qa; Persona: data scientist; Task: grounding-check; Format: qa; Language: PT_BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7240-896595.",travel classification regression-suite qa pt-br,production-ready,commercial,2026-02-23T04:59:32.955885Z,1.0000,ok
+7241,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7241-108059.",travel classification regression-suite qa pt-br,cinematic,consistent,2026-02-23T04:59:32.955885Z,1.0000,ok
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+7243,"Theme: travel classification regression-suite qa pt-br; Domain: classification; 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: 7243-702021.",travel classification regression-suite qa pt-br,cinematic,commercial,2026-02-23T04:59:32.955885Z,1.0000,ok
+7244,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7244-563910.",travel classification regression-suite qa pt-br,clean,high-precision,2026-02-23T04:59:32.955885Z,1.0000,ok
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+7246,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7246-106063.",travel classification regression-suite qa pt-br,cinematic,high-precision,2026-02-23T04:59:32.955885Z,1.0000,ok
+7247,"Theme: travel classification regression-suite qa pt-br; Domain: classification-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: 7247-537160.",travel classification regression-suite qa pt-br,detailed,benchmark-grade,2026-02-23T04:59:32.955885Z,1.0000,ok
+7248,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; Persona: ml engineer; Task: benchmarking; Format: qa; Language: PT_BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7248-695176.",travel classification regression-suite qa pt-br,minimal,premium,2026-02-23T04:59:32.955885Z,1.0000,ok
+7249,"Theme: travel classification regression-suite qa pt-br; Domain: classification-production; 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: 7249-643561.",travel classification regression-suite qa pt-br,stylized,high-precision,2026-02-23T04:59:32.955885Z,1.0000,ok
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+7251,"Theme: travel classification regression-suite qa pt-br; Domain: classification-qa; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT_BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7251-258044.",travel classification regression-suite qa pt-br,minimal,benchmark-grade,2026-02-23T04:59:32.955885Z,1.0000,ok
+7252,"Theme: travel classification regression-suite qa pt-br; Domain: classification-production; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: PT_BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7252-366251.",travel classification regression-suite qa pt-br,stylized,benchmark-grade,2026-02-23T04:59:32.955885Z,1.0000,ok
+7253,"Theme: travel classification regression-suite qa pt-br; Domain: classification-qa; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7253-376336.",travel classification regression-suite qa pt-br,minimal,benchmark-grade,2026-02-23T04:59:32.955885Z,1.0000,ok
+7254,"Theme: travel classification regression-suite qa pt-br; Domain: classification-production; Persona: ml engineer; Task: grounding-check; Format: qa; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7254-931562.",travel classification regression-suite qa pt-br,stylized,consistent,2026-02-23T04:59:32.955885Z,1.0000,ok
+7255,"Theme: travel classification regression-suite qa pt-br; Domain: classification-qa; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: PT_BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7255-740437.",travel classification regression-suite qa pt-br,detailed,benchmark-grade,2026-02-23T04:59:32.955885Z,1.0000,ok
+7256,"Theme: travel classification regression-suite qa pt-br; Domain: classification; 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: 7256-863327.",travel classification regression-suite qa pt-br,minimal,benchmark-grade,2026-02-23T04:59:32.955885Z,1.0000,ok
+7257,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7257-396944.",travel classification regression-suite qa pt-br,production-ready,consistent,2026-02-23T04:59:32.955885Z,1.0000,ok
+7258,"Theme: travel classification regression-suite qa pt-br; Domain: classification-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: 7258-840767.",travel classification regression-suite qa pt-br,minimal,commercial,2026-02-23T04:59:32.955885Z,1.0000,ok
+7259,"Theme: travel classification regression-suite qa pt-br; Domain: classification-production; Persona: ai researcher; Task: quality-check; Format: qa; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7259-598182.",travel classification regression-suite qa pt-br,stylized,high-precision,2026-02-23T04:59:32.955885Z,1.0000,ok
+7260,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7260-439849.",travel classification regression-suite qa pt-br,stylized,commercial,2026-02-23T04:59:32.955885Z,1.0000,ok
+7261,"Theme: travel classification regression-suite qa pt-br; Domain: classification-production; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT_BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7261-355623.",travel classification regression-suite qa pt-br,clean,benchmark-grade,2026-02-23T04:59:32.955885Z,1.0000,ok
+7262,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7262-975972.",travel classification regression-suite qa pt-br,detailed,premium,2026-02-23T04:59:32.955885Z,1.0000,ok
+7263,"Theme: travel classification regression-suite qa pt-br; Domain: classification-production; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT_BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7263-151488.",travel classification regression-suite qa pt-br,production-ready,commercial,2026-02-23T04:59:32.955885Z,1.0000,ok
+7264,"Theme: travel classification regression-suite qa pt-br; Domain: classification-production; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: PT_BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7264-996697.",travel classification regression-suite qa pt-br,minimal,consistent,2026-02-23T04:59:32.955885Z,1.0000,ok
+7265,"Theme: travel classification regression-suite qa pt-br; Domain: classification-production; Persona: platform engineer; Task: grounding-check; Format: qa; Language: PT-BR; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7265-702222.",travel classification regression-suite qa pt-br,clean,high-precision,2026-02-23T04:59:32.955885Z,1.0000,ok
+7266,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: PT_BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7266-517399.",travel classification regression-suite qa pt-br,detailed,benchmark-grade,2026-02-23T04:59:32.955885Z,1.0000,ok
+7267,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; Persona: data scientist; Task: quality-check; Format: qa; Language: PT_BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7267-774616.",travel classification regression-suite qa pt-br,clean,premium,2026-02-23T04:59:32.955885Z,1.0000,ok
+7268,"Theme: travel classification regression-suite qa pt-br; Domain: classification-production; Persona: data scientist; Task: quality-check; Format: qa; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7268-460678.",travel classification regression-suite qa pt-br,clean,commercial,2026-02-23T04:59:32.955885Z,1.0000,ok
+7269,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7269-343289.",travel classification regression-suite qa pt-br,detailed,benchmark-grade,2026-02-23T04:59:32.955885Z,1.0000,ok
+7270,"Theme: travel classification regression-suite qa pt-br; Domain: classification-qa; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7270-185233.",travel classification regression-suite qa pt-br,detailed,high-precision,2026-02-23T04:59:32.955885Z,1.0000,ok
+7271,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT_BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7271-250917.",travel classification regression-suite qa pt-br,clean,premium,2026-02-23T04:59:32.955885Z,1.0000,ok
+7272,"Theme: travel classification regression-suite qa pt-br; Domain: classification-production; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7272-403940.",travel classification regression-suite qa pt-br,cinematic,benchmark-grade,2026-02-23T04:59:32.955885Z,1.0000,ok
+7273,"Theme: travel classification regression-suite qa pt-br; Domain: classification-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: 7273-104297.",travel classification regression-suite qa pt-br,production-ready,consistent,2026-02-23T04:59:32.955885Z,1.0000,ok
+7274,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; Persona: data scientist; Task: grounding-check; Format: long-context; Language: PT_BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7274-283560.",travel classification regression-suite qa pt-br,stylized,benchmark-grade,2026-02-23T04:59:32.955885Z,1.0000,ok
+7275,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; 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: 7275-782592.",travel classification regression-suite qa pt-br,production-ready,commercial,2026-02-23T04:59:32.955885Z,1.0000,ok
+7276,"Theme: travel classification regression-suite qa pt-br; Domain: classification; 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: 7276-240256.",travel classification regression-suite qa pt-br,minimal,commercial,2026-02-23T04:59:32.955885Z,1.0000,ok
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+7282,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7282-656498.",travel classification regression-suite qa pt-br,clean,premium,2026-02-23T04:59:32.955885Z,1.0000,ok
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+7284,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; Persona: data scientist; Task: quality-check; Format: qa; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7284-672842.",travel classification regression-suite qa pt-br,detailed,premium,2026-02-23T04:59:32.955885Z,1.0000,ok
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+7286,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: platform engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7286-861878.",travel classification regression-suite qa pt-br,detailed,benchmark-grade,2026-02-23T04:59:32.955885Z,1.0000,ok
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+7301,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: platform engineer; Task: grounding-check; Format: qa; Language: PT_BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7301-920839.",travel classification regression-suite qa pt-br,clean,high-precision,2026-02-23T04:59:32.955885Z,1.0000,ok
+7302,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: platform engineer; Task: benchmarking; Format: qa; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7302-910397.",travel classification regression-suite qa pt-br,minimal,high-precision,2026-02-23T04:59:32.955885Z,1.0000,ok
+7303,"Theme: travel classification regression-suite qa pt-br; Domain: classification-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: 7303-514348.",travel classification regression-suite qa pt-br,stylized,benchmark-grade,2026-02-23T04:59:32.955885Z,1.0000,ok
+7304,"Theme: travel classification regression-suite qa pt-br; Domain: classification-qa; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7304-708204.",travel classification regression-suite qa pt-br,production-ready,premium,2026-02-23T04:59:32.955885Z,1.0000,ok
+7305,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7305-309966.",travel classification regression-suite qa pt-br,detailed,consistent,2026-02-23T04:59:32.955885Z,1.0000,ok
+7306,"Theme: travel classification regression-suite qa pt-br; Domain: classification-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: 7306-168988.",travel classification regression-suite qa pt-br,clean,consistent,2026-02-23T04:59:32.955885Z,1.0000,ok
+7307,"Theme: travel classification regression-suite qa pt-br; Domain: classification-production; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: PT_BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7307-177601.",travel classification regression-suite qa pt-br,clean,high-precision,2026-02-23T04:59:32.955885Z,1.0000,ok
+7308,"Theme: travel classification regression-suite qa pt-br; Domain: classification-qa; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7308-699785.",travel classification regression-suite qa pt-br,cinematic,premium,2026-02-23T04:59:32.955885Z,1.0000,ok
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+7311,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7311-493786.",travel classification regression-suite qa pt-br,detailed,consistent,2026-02-23T04:59:32.955885Z,1.0000,ok
+7312,"Theme: travel classification regression-suite qa pt-br; Domain: classification-production; Persona: ml engineer; Task: quality-check; Format: qa; Language: PT_BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7312-150834.",travel classification regression-suite qa pt-br,cinematic,benchmark-grade,2026-02-23T04:59:32.955885Z,1.0000,ok
+7313,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7313-178604.",travel classification regression-suite qa pt-br,minimal,consistent,2026-02-23T04:59:32.955885Z,1.0000,ok
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+7315,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7315-788959.",travel classification regression-suite qa pt-br,minimal,commercial,2026-02-23T04:59:32.955885Z,1.0000,ok
+7316,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7316-668432.",travel classification regression-suite qa pt-br,minimal,benchmark-grade,2026-02-23T04:59:32.955885Z,1.0000,ok
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+7318,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: PT_BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7318-964709.",travel classification regression-suite qa pt-br,cinematic,commercial,2026-02-23T04:59:32.955885Z,1.0000,ok
+7319,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: ml engineer; Task: quality-check; Format: qa; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7319-121959.",travel classification regression-suite qa pt-br,minimal,consistent,2026-02-23T04:59:32.955885Z,1.0000,ok
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+7322,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT_BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7322-320532.",travel classification regression-suite qa pt-br,minimal,high-precision,2026-02-23T04:59:32.955885Z,1.0000,ok
+7323,"Theme: travel classification regression-suite qa pt-br; Domain: classification; 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: 7323-605838.",travel classification regression-suite qa pt-br,production-ready,high-precision,2026-02-23T04:59:32.955885Z,1.0000,ok
+7324,"Theme: travel classification regression-suite qa pt-br; Domain: classification-qa; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7324-914895.",travel classification regression-suite qa pt-br,detailed,consistent,2026-02-23T04:59:32.955885Z,1.0000,ok
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+7326,"Theme: travel classification regression-suite qa pt-br; Domain: classification-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: 7326-666443.",travel classification regression-suite qa pt-br,detailed,high-precision,2026-02-23T04:59:32.955885Z,1.0000,ok
+7327,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; Persona: platform engineer; Task: quality-check; Format: qa; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7327-481381.",travel classification regression-suite qa pt-br,stylized,high-precision,2026-02-23T04:59:32.955885Z,1.0000,ok
+7328,"Theme: travel classification regression-suite qa pt-br; Domain: classification-qa; Persona: platform engineer; Task: robustness-check; Format: qa; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7328-912251.",travel classification regression-suite qa pt-br,cinematic,consistent,2026-02-23T04:59:32.955885Z,1.0000,ok
+7329,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; 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: 7329-794407.",travel classification regression-suite qa pt-br,minimal,premium,2026-02-23T04:59:32.955885Z,1.0000,ok
+7330,"Theme: travel classification regression-suite qa pt-br; Domain: classification-production; Persona: ai researcher; Task: quality-check; Format: qa; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7330-167521.",travel classification regression-suite qa pt-br,stylized,benchmark-grade,2026-02-23T04:59:32.955885Z,1.0000,ok
+7331,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: PT_BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7331-256621.",travel classification regression-suite qa pt-br,production-ready,consistent,2026-02-23T04:59:32.955885Z,1.0000,ok
+7332,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7332-696254.",travel classification regression-suite qa pt-br,detailed,consistent,2026-02-23T04:59:32.955885Z,1.0000,ok
+7333,"Theme: travel classification regression-suite qa pt-br; Domain: classification-production; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7333-649163.",travel classification regression-suite qa pt-br,minimal,high-precision,2026-02-23T04:59:32.955885Z,1.0000,ok
+7334,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7334-793666.",travel classification regression-suite qa pt-br,cinematic,premium,2026-02-23T04:59:32.955885Z,1.0000,ok
+7335,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; Persona: data scientist; Task: quality-check; Format: qa; Language: PT_BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7335-394184.",travel classification regression-suite qa pt-br,stylized,commercial,2026-02-23T04:59:32.955885Z,1.0000,ok
+7336,"Theme: travel classification regression-suite qa pt-br; Domain: classification; 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: 7336-429951.",travel classification regression-suite qa pt-br,clean,premium,2026-02-23T04:59:32.955885Z,1.0000,ok
+7337,"Theme: travel classification regression-suite qa pt-br; Domain: classification-production; Persona: ml engineer; Task: benchmarking; Format: qa; Language: PT_BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7337-996809.",travel classification regression-suite qa pt-br,stylized,premium,2026-02-23T04:59:32.955885Z,1.0000,ok
+7338,"Theme: travel classification regression-suite qa pt-br; Domain: classification-qa; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7338-973696.",travel classification regression-suite qa pt-br,cinematic,benchmark-grade,2026-02-23T04:59:32.955885Z,1.0000,ok
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+7341,"Theme: travel classification regression-suite qa pt-br; Domain: classification-qa; Persona: ai researcher; Task: robustness-check; Format: qa; Language: PT_BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7341-734473.",travel classification regression-suite qa pt-br,clean,commercial,2026-02-23T04:59:32.955885Z,1.0000,ok
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+7374,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; Persona: data scientist; Task: quality-check; Format: long-context; Language: PT_BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7374-526791.",travel classification regression-suite qa pt-br,stylized,benchmark-grade,2026-02-23T04:59:32.955885Z,1.0000,ok
+7375,"Theme: travel classification regression-suite qa pt-br; Domain: classification-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: 7375-545308.",travel classification regression-suite qa pt-br,clean,consistent,2026-02-23T04:59:32.955885Z,1.0000,ok
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+7378,"Theme: travel classification regression-suite qa pt-br; Domain: classification-qa; Persona: data scientist; Task: benchmarking; Format: qa; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7378-690185.",travel classification regression-suite qa pt-br,cinematic,premium,2026-02-23T04:59:32.955885Z,1.0000,ok
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+7381,"Theme: travel classification regression-suite qa pt-br; Domain: classification-production; Persona: ai researcher; Task: benchmarking; Format: qa; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7381-439300.",travel classification regression-suite qa pt-br,cinematic,consistent,2026-02-23T04:59:32.955885Z,1.0000,ok
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+7383,"Theme: travel classification regression-suite qa pt-br; Domain: classification-production; Persona: platform engineer; Task: quality-check; Format: qa; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7383-676589.",travel classification regression-suite qa pt-br,stylized,premium,2026-02-23T04:59:32.955885Z,1.0000,ok
+7384,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: data scientist; Task: robustness-check; Format: long-context; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7384-298435.",travel classification regression-suite qa pt-br,clean,benchmark-grade,2026-02-23T04:59:32.955885Z,1.0000,ok
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+7386,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7386-311083.",travel classification regression-suite qa pt-br,stylized,benchmark-grade,2026-02-23T04:59:32.955885Z,1.0000,ok
+7387,"Theme: travel classification regression-suite qa pt-br; Domain: classification-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: 7387-954555.",travel classification regression-suite qa pt-br,cinematic,consistent,2026-02-23T04:59:32.955885Z,1.0000,ok
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+7391,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: ml engineer; Task: grounding-check; Format: qa; Language: PT_BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7391-757885.",travel classification regression-suite qa pt-br,stylized,consistent,2026-02-23T04:59:32.955885Z,1.0000,ok
+7392,"Theme: travel classification regression-suite qa pt-br; Domain: classification; 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: 7392-131310.",travel classification regression-suite qa pt-br,cinematic,consistent,2026-02-23T04:59:32.955885Z,1.0000,ok
+7393,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: platform engineer; Task: grounding-check; Format: qa; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7393-388652.",travel classification regression-suite qa pt-br,stylized,high-precision,2026-02-23T04:59:32.955885Z,1.0000,ok
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+7395,"Theme: travel classification regression-suite qa pt-br; Domain: classification-qa; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7395-106607.",travel classification regression-suite qa pt-br,stylized,high-precision,2026-02-23T04:59:32.955885Z,1.0000,ok
+7396,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7396-808439.",travel classification regression-suite qa pt-br,detailed,premium,2026-02-23T04:59:32.955885Z,1.0000,ok
+7397,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7397-235243.",travel classification regression-suite qa pt-br,minimal,benchmark-grade,2026-02-23T04:59:32.955885Z,1.0000,ok
+7398,"Theme: travel classification regression-suite qa pt-br; Domain: classification; 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: 7398-875395.",travel classification regression-suite qa pt-br,detailed,consistent,2026-02-23T04:59:32.955885Z,1.0000,ok
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+7409,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; 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: 7409-977151.",travel classification regression-suite qa pt-br,detailed,benchmark-grade,2026-02-23T04:59:32.955885Z,1.0000,ok
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+7436,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7436-889333.",travel classification regression-suite qa pt-br,minimal,consistent,2026-02-23T04:59:32.955885Z,1.0000,ok
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+7440,"Theme: travel classification regression-suite qa pt-br; Domain: classification; 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: 7440-563506.",travel classification regression-suite qa pt-br,minimal,high-precision,2026-02-23T04:59:32.955885Z,1.0000,ok
+7441,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; Persona: data scientist; Task: grounding-check; Format: qa; Language: PT_BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7441-989589.",travel classification regression-suite qa pt-br,clean,consistent,2026-02-23T04:59:32.955885Z,1.0000,ok
+7442,"Theme: travel classification regression-suite qa pt-br; Domain: classification-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: 7442-934126.",travel classification regression-suite qa pt-br,cinematic,consistent,2026-02-23T04:59:32.955885Z,1.0000,ok
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+7507,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; 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: 7507-836386.",travel classification regression-suite qa pt-br,detailed,premium,2026-02-23T04:59:32.955885Z,1.0000,ok
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+7511,"Theme: travel classification regression-suite qa pt-br; Domain: classification-qa; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7511-905844.",travel classification regression-suite qa pt-br,minimal,premium,2026-02-23T04:59:32.955885Z,1.0000,ok
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+7513,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7513-558639.",travel classification regression-suite qa pt-br,detailed,premium,2026-02-23T04:59:32.955885Z,1.0000,ok
+7514,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT_BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7514-449614.",travel classification regression-suite qa pt-br,cinematic,benchmark-grade,2026-02-23T04:59:32.955885Z,1.0000,ok
+7515,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7515-440201.",travel classification regression-suite qa pt-br,cinematic,premium,2026-02-23T04:59:32.955885Z,1.0000,ok
+7516,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7516-772774.",travel classification regression-suite qa pt-br,minimal,consistent,2026-02-23T04:59:32.955885Z,1.0000,ok
+7517,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7517-340842.",travel classification regression-suite qa pt-br,production-ready,consistent,2026-02-23T04:59:32.955885Z,1.0000,ok
+7518,"Theme: travel classification regression-suite qa pt-br; Domain: classification-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: 7518-702871.",travel classification regression-suite qa pt-br,production-ready,consistent,2026-02-23T04:59:32.955885Z,1.0000,ok
+7519,"Theme: travel classification regression-suite qa pt-br; Domain: classification-qa; Persona: platform engineer; Task: quality-check; Format: qa; Language: PT_BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7519-300272.",travel classification regression-suite qa pt-br,minimal,benchmark-grade,2026-02-23T04:59:32.955885Z,1.0000,ok
+7520,"Theme: travel classification regression-suite qa pt-br; Domain: classification-qa; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7520-105836.",travel classification regression-suite qa pt-br,clean,premium,2026-02-23T04:59:32.955885Z,1.0000,ok
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+7522,"Theme: travel classification regression-suite qa pt-br; Domain: classification-production; Persona: data scientist; Task: grounding-check; Format: qa; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7522-805160.",travel classification regression-suite qa pt-br,detailed,benchmark-grade,2026-02-23T04:59:32.955885Z,1.0000,ok
+7523,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7523-707346.",travel classification regression-suite qa pt-br,production-ready,benchmark-grade,2026-02-23T04:59:32.955885Z,1.0000,ok
+7524,"Theme: travel classification regression-suite qa pt-br; Domain: classification-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: 7524-893027.",travel classification regression-suite qa pt-br,clean,commercial,2026-02-23T04:59:32.955885Z,1.0000,ok
+7525,"Theme: travel classification regression-suite qa pt-br; Domain: classification-qa; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7525-535471.",travel classification regression-suite qa pt-br,minimal,consistent,2026-02-23T04:59:32.955885Z,1.0000,ok
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+7527,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: ai researcher; Task: grounding-check; Format: qa; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7527-121754.",travel classification regression-suite qa pt-br,minimal,benchmark-grade,2026-02-23T04:59:32.955885Z,1.0000,ok
+7528,"Theme: travel classification regression-suite qa pt-br; Domain: classification; 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: 7528-368898.",travel classification regression-suite qa pt-br,detailed,consistent,2026-02-23T04:59:32.955885Z,1.0000,ok
+7529,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7529-466427.",travel classification regression-suite qa pt-br,production-ready,consistent,2026-02-23T04:59:32.955885Z,1.0000,ok
+7530,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; Persona: data scientist; Task: benchmarking; Format: long-context; Language: PT_BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7530-418757.",travel classification regression-suite qa pt-br,detailed,commercial,2026-02-23T04:59:32.955885Z,1.0000,ok
+7531,"Theme: travel classification regression-suite qa pt-br; Domain: classification-production; Persona: ml engineer; Task: grounding-check; Format: qa; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7531-390243.",travel classification regression-suite qa pt-br,production-ready,premium,2026-02-23T04:59:32.955885Z,1.0000,ok
+7532,"Theme: travel classification regression-suite qa pt-br; Domain: classification-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: 7532-781543.",travel classification regression-suite qa pt-br,production-ready,premium,2026-02-23T04:59:32.955885Z,1.0000,ok
+7533,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; Persona: platform engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7533-602237.",travel classification regression-suite qa pt-br,stylized,consistent,2026-02-23T04:59:32.955885Z,1.0000,ok
+7534,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7534-151335.",travel classification regression-suite qa pt-br,stylized,benchmark-grade,2026-02-23T04:59:32.955885Z,1.0000,ok
+7535,"Theme: travel classification regression-suite qa pt-br; Domain: classification-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: 7535-831013.",travel classification regression-suite qa pt-br,cinematic,benchmark-grade,2026-02-23T04:59:32.955885Z,1.0000,ok
+7536,"Theme: travel classification regression-suite qa pt-br; Domain: classification; 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: 7536-210113.",travel classification regression-suite qa pt-br,minimal,premium,2026-02-23T04:59:32.955885Z,1.0000,ok
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+7542,"Theme: travel classification regression-suite qa pt-br; Domain: classification; 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: 7542-898841.",travel classification regression-suite qa pt-br,detailed,premium,2026-02-23T04:59:32.955885Z,1.0000,ok
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+7641,"Theme: travel classification regression-suite qa pt-br; Domain: classification-production; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: PT_BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7641-750477.",travel classification regression-suite qa pt-br,clean,commercial,2026-02-23T04:59:32.955885Z,1.0000,ok
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+7644,"Theme: travel classification regression-suite qa pt-br; Domain: classification-qa; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7644-143081.",travel classification regression-suite qa pt-br,cinematic,premium,2026-02-23T04:59:32.955885Z,1.0000,ok
+7645,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; 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: 7645-842057.",travel classification regression-suite qa pt-br,minimal,high-precision,2026-02-23T04:59:32.955885Z,1.0000,ok
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+7647,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: ml engineer; Task: robustness-check; Format: qa; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7647-207245.",travel classification regression-suite qa pt-br,production-ready,consistent,2026-02-23T04:59:32.955885Z,1.0000,ok
+7648,"Theme: travel classification regression-suite qa pt-br; Domain: classification; 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: 7648-989164.",travel classification regression-suite qa pt-br,cinematic,premium,2026-02-23T04:59:32.955885Z,1.0000,ok
+7649,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; 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: 7649-129295.",travel classification regression-suite qa pt-br,cinematic,commercial,2026-02-23T04:59:32.955885Z,1.0000,ok
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+7651,"Theme: travel classification regression-suite qa pt-br; Domain: classification-qa; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT_BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7651-517689.",travel classification regression-suite qa pt-br,minimal,benchmark-grade,2026-02-23T04:59:32.955885Z,1.0000,ok
+7652,"Theme: travel classification regression-suite qa pt-br; Domain: classification-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: 7652-369386.",travel classification regression-suite qa pt-br,production-ready,premium,2026-02-23T04:59:32.955885Z,1.0000,ok
+7653,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7653-736317.",travel classification regression-suite qa pt-br,cinematic,benchmark-grade,2026-02-23T04:59:32.955885Z,1.0000,ok
+7654,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; Persona: data scientist; Task: robustness-check; Format: long-context; Language: PT_BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7654-884514.",travel classification regression-suite qa pt-br,minimal,benchmark-grade,2026-02-23T04:59:32.955885Z,1.0000,ok
+7655,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7655-863382.",travel classification regression-suite qa pt-br,clean,premium,2026-02-23T04:59:32.955885Z,1.0000,ok
+7656,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: platform engineer; Task: quality-check; Format: long-context; Language: PT_BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7656-410363.",travel classification regression-suite qa pt-br,production-ready,commercial,2026-02-23T04:59:32.955885Z,1.0000,ok
+7657,"Theme: travel classification regression-suite qa pt-br; Domain: classification-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: 7657-849861.",travel classification regression-suite qa pt-br,clean,high-precision,2026-02-23T04:59:32.955885Z,1.0000,ok
+7658,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; 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: 7658-667942.",travel classification regression-suite qa pt-br,clean,high-precision,2026-02-23T04:59:32.955885Z,1.0000,ok
+7659,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; Persona: platform engineer; Task: benchmarking; Format: qa; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7659-224098.",travel classification regression-suite qa pt-br,detailed,premium,2026-02-23T04:59:32.955885Z,1.0000,ok
+7660,"Theme: travel classification regression-suite qa pt-br; Domain: classification-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: 7660-462459.",travel classification regression-suite qa pt-br,stylized,premium,2026-02-23T04:59:32.955885Z,1.0000,ok
+7661,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7661-320956.",travel classification regression-suite qa pt-br,minimal,consistent,2026-02-23T04:59:32.955885Z,1.0000,ok
+7662,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; Persona: data scientist; Task: grounding-check; Format: long-context; Language: PT_BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7662-605581.",travel classification regression-suite qa pt-br,production-ready,high-precision,2026-02-23T04:59:32.955885Z,1.0000,ok
+7663,"Theme: travel classification regression-suite qa pt-br; Domain: classification-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: 7663-742910.",travel classification regression-suite qa pt-br,stylized,consistent,2026-02-23T04:59:32.955885Z,1.0000,ok
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+7665,"Theme: travel classification regression-suite qa pt-br; Domain: classification; 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: 7665-477313.",travel classification regression-suite qa pt-br,detailed,high-precision,2026-02-23T04:59:32.955885Z,1.0000,ok
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+7667,"Theme: travel classification regression-suite qa pt-br; Domain: classification-production; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: PT_BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7667-883353.",travel classification regression-suite qa pt-br,cinematic,commercial,2026-02-23T04:59:32.955885Z,1.0000,ok
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+7669,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; 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: 7669-211542.",travel classification regression-suite qa pt-br,clean,consistent,2026-02-23T04:59:32.955885Z,1.0000,ok
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+7671,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; 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: 7671-157176.",travel classification regression-suite qa pt-br,detailed,benchmark-grade,2026-02-23T04:59:32.955885Z,1.0000,ok
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+7673,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT_BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7673-639566.",travel classification regression-suite qa pt-br,minimal,high-precision,2026-02-23T04:59:32.955885Z,1.0000,ok
+7674,"Theme: travel classification regression-suite qa pt-br; Domain: classification-production; Persona: platform engineer; Task: quality-check; Format: qa; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7674-910475.",travel classification regression-suite qa pt-br,clean,commercial,2026-02-23T04:59:32.955885Z,1.0000,ok
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+7687,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7687-782535.",travel classification regression-suite qa pt-br,clean,commercial,2026-02-23T04:59:32.955885Z,1.0000,ok
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+7705,"Theme: travel classification regression-suite qa pt-br; Domain: classification-qa; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7705-639992.",travel classification regression-suite qa pt-br,minimal,benchmark-grade,2026-02-23T04:59:32.955885Z,1.0000,ok
+7706,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; Persona: ai researcher; Task: quality-check; Format: long-context; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7706-190678.",travel classification regression-suite qa pt-br,production-ready,commercial,2026-02-23T04:59:32.955885Z,1.0000,ok
+7707,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7707-729724.",travel classification regression-suite qa pt-br,production-ready,high-precision,2026-02-23T04:59:32.955885Z,1.0000,ok
+7708,"Theme: travel classification regression-suite qa pt-br; Domain: classification-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: 7708-941747.",travel classification regression-suite qa pt-br,production-ready,premium,2026-02-23T04:59:32.955885Z,1.0000,ok
+7709,"Theme: travel classification regression-suite qa pt-br; Domain: classification-production; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7709-246955.",travel classification regression-suite qa pt-br,production-ready,premium,2026-02-23T04:59:32.955885Z,1.0000,ok
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+7711,"Theme: travel classification regression-suite qa pt-br; Domain: classification; 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: 7711-319331.",travel classification regression-suite qa pt-br,production-ready,commercial,2026-02-23T04:59:32.955885Z,1.0000,ok
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+7713,"Theme: travel classification regression-suite qa pt-br; Domain: classification-production; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: PT_BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7713-157981.",travel classification regression-suite qa pt-br,clean,premium,2026-02-23T04:59:32.955885Z,1.0000,ok
+7714,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7714-928086.",travel classification regression-suite qa pt-br,clean,high-precision,2026-02-23T04:59:32.955885Z,1.0000,ok
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+7717,"Theme: travel classification regression-suite qa pt-br; Domain: classification; 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: 7717-130581.",travel classification regression-suite qa pt-br,detailed,high-precision,2026-02-23T04:59:32.955885Z,1.0000,ok
+7718,"Theme: travel classification regression-suite qa pt-br; Domain: classification-production; Persona: data scientist; Task: robustness-check; Format: qa; Language: PT_BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7718-938528.",travel classification regression-suite qa pt-br,stylized,commercial,2026-02-23T04:59:32.955885Z,1.0000,ok
+7719,"Theme: travel classification regression-suite qa pt-br; Domain: classification-production; Persona: ml engineer; Task: benchmarking; Format: qa; Language: PT_BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7719-956496.",travel classification regression-suite qa pt-br,clean,benchmark-grade,2026-02-23T04:59:32.955885Z,1.0000,ok
+7720,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7720-615383.",travel classification regression-suite qa pt-br,minimal,premium,2026-02-23T04:59:32.955885Z,1.0000,ok
+7721,"Theme: travel classification regression-suite qa pt-br; Domain: classification-production; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7721-232133.",travel classification regression-suite qa pt-br,clean,premium,2026-02-23T04:59:32.955885Z,1.0000,ok
+7722,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: ml engineer; Task: robustness-check; Format: qa; Language: PT_BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7722-575945.",travel classification regression-suite qa pt-br,cinematic,high-precision,2026-02-23T04:59:32.955885Z,1.0000,ok
+7723,"Theme: travel classification regression-suite qa pt-br; Domain: classification-qa; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: PT_BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7723-488270.",travel classification regression-suite qa pt-br,clean,consistent,2026-02-23T04:59:32.955885Z,1.0000,ok
+7724,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7724-506598.",travel classification regression-suite qa pt-br,production-ready,premium,2026-02-23T04:59:32.955885Z,1.0000,ok
+7725,"Theme: travel classification regression-suite qa pt-br; Domain: classification-production; 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: 7725-349165.",travel classification regression-suite qa pt-br,clean,premium,2026-02-23T04:59:32.955885Z,1.0000,ok
+7726,"Theme: travel classification regression-suite qa pt-br; Domain: classification-production; 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: 7726-567149.",travel classification regression-suite qa pt-br,cinematic,benchmark-grade,2026-02-23T04:59:32.955885Z,1.0000,ok
+7727,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7727-116781.",travel classification regression-suite qa pt-br,stylized,premium,2026-02-23T04:59:32.955885Z,1.0000,ok
+7728,"Theme: travel classification regression-suite qa pt-br; Domain: classification-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: 7728-623794.",travel classification regression-suite qa pt-br,production-ready,premium,2026-02-23T04:59:32.955885Z,1.0000,ok
+7729,"Theme: travel classification regression-suite qa pt-br; Domain: classification; 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: 7729-535382.",travel classification regression-suite qa pt-br,clean,consistent,2026-02-23T04:59:32.955885Z,1.0000,ok
+7730,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; Persona: ml engineer; Task: grounding-check; Format: qa; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7730-541586.",travel classification regression-suite qa pt-br,cinematic,commercial,2026-02-23T04:59:32.955885Z,1.0000,ok
+7731,"Theme: travel classification regression-suite qa pt-br; Domain: classification-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: 7731-635904.",travel classification regression-suite qa pt-br,clean,high-precision,2026-02-23T04:59:32.955885Z,1.0000,ok
+7732,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; 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: 7732-137069.",travel classification regression-suite qa pt-br,minimal,premium,2026-02-23T04:59:32.955885Z,1.0000,ok
+7733,"Theme: travel classification regression-suite qa pt-br; Domain: classification-qa; Persona: data scientist; Task: quality-check; Format: qa; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7733-119940.",travel classification regression-suite qa pt-br,production-ready,high-precision,2026-02-23T04:59:32.955885Z,1.0000,ok
+7734,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: data scientist; Task: benchmarking; Format: qa; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7734-549420.",travel classification regression-suite qa pt-br,stylized,commercial,2026-02-23T04:59:32.955885Z,1.0000,ok
+7735,"Theme: travel classification regression-suite qa pt-br; Domain: classification-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: 7735-600452.",travel classification regression-suite qa pt-br,cinematic,high-precision,2026-02-23T04:59:32.955885Z,1.0000,ok
+7736,"Theme: travel classification regression-suite qa pt-br; Domain: classification-production; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7736-891740.",travel classification regression-suite qa pt-br,detailed,benchmark-grade,2026-02-23T04:59:32.955885Z,1.0000,ok
+7737,"Theme: travel classification regression-suite qa pt-br; Domain: classification-qa; Persona: data scientist; Task: quality-check; Format: qa; Language: PT_BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7737-872788.",travel classification regression-suite qa pt-br,production-ready,consistent,2026-02-23T04:59:32.955885Z,1.0000,ok
+7738,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: ai researcher; Task: quality-check; Format: qa; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7738-792951.",travel classification regression-suite qa pt-br,minimal,benchmark-grade,2026-02-23T04:59:32.955885Z,1.0000,ok
+7739,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: ai researcher; Task: benchmarking; Format: qa; Language: PT_BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7739-383618.",travel classification regression-suite qa pt-br,production-ready,premium,2026-02-23T04:59:32.955885Z,1.0000,ok
+7740,"Theme: travel classification regression-suite qa pt-br; Domain: classification-qa; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: PT_BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7740-278475.",travel classification regression-suite qa pt-br,detailed,premium,2026-02-23T04:59:32.955885Z,1.0000,ok
+7741,"Theme: travel classification regression-suite qa pt-br; Domain: classification-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: 7741-755796.",travel classification regression-suite qa pt-br,cinematic,commercial,2026-02-23T04:59:32.955885Z,1.0000,ok
+7742,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7742-817145.",travel classification regression-suite qa pt-br,clean,benchmark-grade,2026-02-23T04:59:32.955885Z,1.0000,ok
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+7744,"Theme: travel classification regression-suite qa pt-br; Domain: classification; 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: 7744-108347.",travel classification regression-suite qa pt-br,clean,consistent,2026-02-23T04:59:32.955885Z,1.0000,ok
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+7749,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; Persona: ai researcher; Task: quality-check; Format: qa; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7749-813741.",travel classification regression-suite qa pt-br,production-ready,commercial,2026-02-23T04:59:32.955885Z,1.0000,ok
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+7752,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7752-260453.",travel classification regression-suite qa pt-br,minimal,consistent,2026-02-23T04:59:32.955885Z,1.0000,ok
+7753,"Theme: travel classification regression-suite qa pt-br; Domain: classification-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: 7753-399174.",travel classification regression-suite qa pt-br,stylized,benchmark-grade,2026-02-23T04:59:32.955885Z,1.0000,ok
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+7757,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT_BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7757-197959.",travel classification regression-suite qa pt-br,detailed,consistent,2026-02-23T04:59:32.955885Z,1.0000,ok
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+7768,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; 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: 7768-649226.",travel classification regression-suite qa pt-br,minimal,benchmark-grade,2026-02-23T04:59:32.955885Z,1.0000,ok
+7769,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: ml engineer; Task: robustness-check; Format: qa; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7769-253153.",travel classification regression-suite qa pt-br,minimal,benchmark-grade,2026-02-23T04:59:32.955885Z,1.0000,ok
+7770,"Theme: travel classification regression-suite qa pt-br; Domain: classification-qa; Persona: data scientist; Task: robustness-check; Format: qa; Language: PT_BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7770-301010.",travel classification regression-suite qa pt-br,minimal,benchmark-grade,2026-02-23T04:59:32.955885Z,1.0000,ok
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+7772,"Theme: travel classification regression-suite qa pt-br; Domain: classification-qa; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7772-775102.",travel classification regression-suite qa pt-br,stylized,premium,2026-02-23T04:59:32.955885Z,1.0000,ok
+7773,"Theme: travel classification regression-suite qa pt-br; Domain: classification-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: 7773-751229.",travel classification regression-suite qa pt-br,cinematic,commercial,2026-02-23T04:59:32.955885Z,1.0000,ok
+7774,"Theme: travel classification regression-suite qa pt-br; Domain: classification-production; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7774-709782.",travel classification regression-suite qa pt-br,clean,high-precision,2026-02-23T04:59:32.955885Z,1.0000,ok
+7775,"Theme: travel classification regression-suite qa pt-br; Domain: classification; 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: 7775-370547.",travel classification regression-suite qa pt-br,detailed,commercial,2026-02-23T04:59:32.955885Z,1.0000,ok
+7776,"Theme: travel classification regression-suite qa pt-br; Domain: classification-production; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7776-144337.",travel classification regression-suite qa pt-br,minimal,consistent,2026-02-23T04:59:32.955885Z,1.0000,ok
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+7781,"Theme: travel classification regression-suite qa pt-br; Domain: classification-qa; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT_BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7781-699035.",travel classification regression-suite qa pt-br,stylized,commercial,2026-02-23T04:59:32.955885Z,1.0000,ok
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+7790,"Theme: travel classification regression-suite qa pt-br; Domain: classification-qa; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT_BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7790-239767.",travel classification regression-suite qa pt-br,detailed,premium,2026-02-23T04:59:32.955885Z,1.0000,ok
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+7792,"Theme: travel classification regression-suite qa pt-br; Domain: classification-production; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7792-390389.",travel classification regression-suite qa pt-br,clean,commercial,2026-02-23T04:59:32.955885Z,1.0000,ok
+7793,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7793-859865.",travel classification regression-suite qa pt-br,clean,consistent,2026-02-23T04:59:32.955885Z,1.0000,ok
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+7799,"Theme: travel classification regression-suite qa pt-br; Domain: classification-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: 7799-966893.",travel classification regression-suite qa pt-br,stylized,consistent,2026-02-23T04:59:32.955885Z,1.0000,ok
+7800,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; 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: 7800-466810.",travel classification regression-suite qa pt-br,clean,consistent,2026-02-23T04:59:32.955885Z,1.0000,ok
+7801,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7801-298822.",travel classification regression-suite qa pt-br,minimal,high-precision,2026-02-23T04:59:32.955885Z,1.0000,ok
+7802,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: PT_BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7802-264421.",travel classification regression-suite qa pt-br,detailed,commercial,2026-02-23T04:59:32.955885Z,1.0000,ok
+7803,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7803-347972.",travel classification regression-suite qa pt-br,cinematic,commercial,2026-02-23T04:59:32.955885Z,1.0000,ok
+7804,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; Persona: platform engineer; Task: quality-check; Format: qa; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7804-212825.",travel classification regression-suite qa pt-br,cinematic,benchmark-grade,2026-02-23T04:59:32.955885Z,1.0000,ok
+7805,"Theme: travel classification regression-suite qa pt-br; Domain: classification-qa; 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: 7805-240466.",travel classification regression-suite qa pt-br,stylized,premium,2026-02-23T04:59:32.955885Z,1.0000,ok
+7806,"Theme: travel classification regression-suite qa pt-br; Domain: classification-production; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7806-695640.",travel classification regression-suite qa pt-br,cinematic,commercial,2026-02-23T04:59:32.955885Z,1.0000,ok
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+7808,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: PT_BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7808-761147.",travel classification regression-suite qa pt-br,clean,premium,2026-02-23T04:59:32.955885Z,1.0000,ok
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+7835,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; 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: 7835-266998.",travel classification regression-suite qa pt-br,production-ready,benchmark-grade,2026-02-23T04:59:32.955885Z,1.0000,ok
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+7838,"Theme: travel classification regression-suite qa pt-br; Domain: classification-qa; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: PT_BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7838-518098.",travel classification regression-suite qa pt-br,detailed,consistent,2026-02-23T04:59:32.955885Z,1.0000,ok
+7839,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7839-367994.",travel classification regression-suite qa pt-br,cinematic,consistent,2026-02-23T04:59:32.955885Z,1.0000,ok
+7840,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: PT_BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7840-567873.",travel classification regression-suite qa pt-br,detailed,consistent,2026-02-23T04:59:32.955885Z,1.0000,ok
+7841,"Theme: travel classification regression-suite qa pt-br; Domain: classification-qa; Persona: ai researcher; Task: benchmarking; Format: qa; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7841-451392.",travel classification regression-suite qa pt-br,minimal,consistent,2026-02-23T04:59:32.955885Z,1.0000,ok
+7842,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: platform engineer; Task: grounding-check; Format: qa; Language: PT_BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7842-411632.",travel classification regression-suite qa pt-br,stylized,high-precision,2026-02-23T04:59:32.955885Z,1.0000,ok
+7843,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7843-451012.",travel classification regression-suite qa pt-br,clean,benchmark-grade,2026-02-23T04:59:32.955885Z,1.0000,ok
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+7862,"Theme: travel classification regression-suite qa pt-br; Domain: classification-qa; 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: 7862-517275.",travel classification regression-suite qa pt-br,production-ready,premium,2026-02-23T04:59:32.955885Z,1.0000,ok
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+7909,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7909-315368.",travel classification regression-suite qa pt-br,stylized,benchmark-grade,2026-02-23T04:59:32.955885Z,1.0000,ok
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+7913,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7913-427849.",travel classification regression-suite qa pt-br,minimal,consistent,2026-02-23T04:59:32.955885Z,1.0000,ok
+7914,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT_BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7914-205433.",travel classification regression-suite qa pt-br,production-ready,consistent,2026-02-23T04:59:32.955885Z,1.0000,ok
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+7920,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT_BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7920-522964.",travel classification regression-suite qa pt-br,stylized,premium,2026-02-23T04:59:32.955885Z,1.0000,ok
+7921,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; Persona: platform engineer; Task: benchmarking; Format: qa; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7921-102462.",travel classification regression-suite qa pt-br,stylized,benchmark-grade,2026-02-23T04:59:32.955885Z,1.0000,ok
+7922,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7922-817968.",travel classification regression-suite qa pt-br,minimal,consistent,2026-02-23T04:59:32.955885Z,1.0000,ok
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+7924,"Theme: travel classification regression-suite qa pt-br; Domain: classification-production; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7924-558966.",travel classification regression-suite qa pt-br,clean,commercial,2026-02-23T04:59:32.955885Z,1.0000,ok
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+7926,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7926-858728.",travel classification regression-suite qa pt-br,cinematic,premium,2026-02-23T04:59:32.955885Z,1.0000,ok
+7927,"Theme: travel classification regression-suite qa pt-br; Domain: classification-production; Persona: ai researcher; Task: robustness-check; Format: qa; Language: PT_BR; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7927-287246.",travel classification regression-suite qa pt-br,detailed,consistent,2026-02-23T04:59:32.955885Z,1.0000,ok
+7928,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7928-625673.",travel classification regression-suite qa pt-br,clean,commercial,2026-02-23T04:59:32.955885Z,1.0000,ok
+7929,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; Persona: ml engineer; Task: quality-check; Format: qa; Language: PT_BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7929-317455.",travel classification regression-suite qa pt-br,detailed,high-precision,2026-02-23T04:59:32.955885Z,1.0000,ok
+7930,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT_BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7930-315659.",travel classification regression-suite qa pt-br,cinematic,commercial,2026-02-23T04:59:32.955885Z,1.0000,ok
+7931,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; Persona: data scientist; Task: benchmarking; Format: qa; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7931-514851.",travel classification regression-suite qa pt-br,detailed,benchmark-grade,2026-02-23T04:59:32.955885Z,1.0000,ok
+7932,"Theme: travel classification regression-suite qa pt-br; Domain: classification-production; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: PT_BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7932-231208.",travel classification regression-suite qa pt-br,clean,high-precision,2026-02-23T04:59:32.955885Z,1.0000,ok
+7933,"Theme: travel classification regression-suite qa pt-br; Domain: classification-qa; Persona: data scientist; Task: benchmarking; Format: qa; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7933-624708.",travel classification regression-suite qa pt-br,cinematic,benchmark-grade,2026-02-23T04:59:32.955885Z,1.0000,ok
+7934,"Theme: travel classification regression-suite qa pt-br; Domain: classification-production; Persona: platform engineer; Task: robustness-check; Format: qa; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7934-241652.",travel classification regression-suite qa pt-br,production-ready,high-precision,2026-02-23T04:59:32.955885Z,1.0000,ok
+7935,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT_BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7935-240898.",travel classification regression-suite qa pt-br,minimal,premium,2026-02-23T04:59:32.955885Z,1.0000,ok
+7936,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; 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: 7936-707002.",travel classification regression-suite qa pt-br,stylized,premium,2026-02-23T04:59:32.955885Z,1.0000,ok
+7937,"Theme: travel classification regression-suite qa pt-br; Domain: classification-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: 7937-507439.",travel classification regression-suite qa pt-br,stylized,commercial,2026-02-23T04:59:32.955885Z,1.0000,ok
+7938,"Theme: travel classification regression-suite qa pt-br; Domain: classification-production; Persona: ai researcher; Task: quality-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7938-711775.",travel classification regression-suite qa pt-br,cinematic,premium,2026-02-23T04:59:32.955885Z,1.0000,ok
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+7941,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; Persona: data scientist; Task: grounding-check; Format: qa; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7941-141052.",travel classification regression-suite qa pt-br,cinematic,consistent,2026-02-23T04:59:32.955885Z,1.0000,ok
+7942,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7942-654346.",travel classification regression-suite qa pt-br,detailed,premium,2026-02-23T04:59:32.955885Z,1.0000,ok
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+7975,"Theme: travel classification regression-suite qa pt-br; Domain: classification-production; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7975-635735.",travel classification regression-suite qa pt-br,clean,high-precision,2026-02-23T04:59:32.955885Z,1.0000,ok
+7976,"Theme: travel classification regression-suite qa pt-br; Domain: classification-qa; Persona: platform engineer; Task: benchmarking; Format: qa; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7976-402258.",travel classification regression-suite qa pt-br,minimal,benchmark-grade,2026-02-23T04:59:32.955885Z,1.0000,ok
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+8043,"Theme: travel classification regression-suite qa pt-br; Domain: classification; 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: 8043-344924.",travel classification regression-suite qa pt-br,stylized,premium,2026-02-23T04:59:32.955885Z,1.0000,ok
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+8046,"Theme: travel classification regression-suite qa pt-br; Domain: classification-qa; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8046-776803.",travel classification regression-suite qa pt-br,production-ready,commercial,2026-02-23T04:59:32.955885Z,1.0000,ok
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+8049,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; Persona: ai researcher; Task: robustness-check; Format: qa; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8049-302216.",travel classification regression-suite qa pt-br,stylized,commercial,2026-02-23T04:59:32.955885Z,1.0000,ok
+8050,"Theme: travel classification regression-suite qa pt-br; Domain: classification-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: 8050-134739.",travel classification regression-suite qa pt-br,detailed,benchmark-grade,2026-02-23T04:59:32.955885Z,1.0000,ok
+8051,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: ml engineer; Task: benchmarking; Format: qa; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8051-100090.",travel classification regression-suite qa pt-br,clean,commercial,2026-02-23T04:59:32.955885Z,1.0000,ok
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+8053,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: data scientist; Task: robustness-check; Format: qa; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8053-601164.",travel classification regression-suite qa pt-br,detailed,benchmark-grade,2026-02-23T04:59:32.955885Z,1.0000,ok
+8054,"Theme: travel classification regression-suite qa pt-br; Domain: classification-production; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8054-792269.",travel classification regression-suite qa pt-br,stylized,consistent,2026-02-23T04:59:32.955885Z,1.0000,ok
+8055,"Theme: travel classification regression-suite qa pt-br; Domain: classification-qa; Persona: ai researcher; Task: quality-check; Format: long-context; Language: PT_BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8055-557889.",travel classification regression-suite qa pt-br,stylized,premium,2026-02-23T04:59:32.955885Z,1.0000,ok
+8056,"Theme: travel classification regression-suite qa pt-br; Domain: classification-production; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8056-790354.",travel classification regression-suite qa pt-br,cinematic,benchmark-grade,2026-02-23T04:59:32.955885Z,1.0000,ok
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+8058,"Theme: travel classification regression-suite qa pt-br; Domain: classification-qa; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: PT_BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8058-807024.",travel classification regression-suite qa pt-br,minimal,consistent,2026-02-23T04:59:32.955885Z,1.0000,ok
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+8060,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; 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: 8060-357587.",travel classification regression-suite qa pt-br,stylized,high-precision,2026-02-23T04:59:32.955885Z,1.0000,ok
+8061,"Theme: travel classification regression-suite qa pt-br; Domain: classification-production; Persona: ai researcher; Task: quality-check; Format: qa; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8061-142353.",travel classification regression-suite qa pt-br,minimal,consistent,2026-02-23T04:59:32.955885Z,1.0000,ok
+8062,"Theme: travel classification regression-suite qa pt-br; Domain: classification-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: 8062-648268.",travel classification regression-suite qa pt-br,clean,premium,2026-02-23T04:59:32.955885Z,1.0000,ok
+8063,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: data scientist; Task: quality-check; Format: qa; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8063-756785.",travel classification regression-suite qa pt-br,production-ready,high-precision,2026-02-23T04:59:32.955885Z,1.0000,ok
+8064,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8064-556245.",travel classification regression-suite qa pt-br,production-ready,benchmark-grade,2026-02-23T04:59:32.955885Z,1.0000,ok
+8065,"Theme: travel classification regression-suite qa pt-br; Domain: classification-production; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8065-284236.",travel classification regression-suite qa pt-br,minimal,premium,2026-02-23T04:59:32.955885Z,1.0000,ok
+8066,"Theme: travel classification regression-suite qa pt-br; Domain: classification; 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: 8066-319797.",travel classification regression-suite qa pt-br,production-ready,high-precision,2026-02-23T04:59:32.955885Z,1.0000,ok
+8067,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; Persona: ml engineer; Task: grounding-check; Format: qa; Language: PT_BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8067-183492.",travel classification regression-suite qa pt-br,minimal,consistent,2026-02-23T04:59:32.955885Z,1.0000,ok
+8068,"Theme: travel classification regression-suite qa pt-br; Domain: classification-production; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: PT_BR; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8068-363737.",travel classification regression-suite qa pt-br,detailed,commercial,2026-02-23T04:59:32.955885Z,1.0000,ok
+8069,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; 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: 8069-388515.",travel classification regression-suite qa pt-br,detailed,benchmark-grade,2026-02-23T04:59:32.955885Z,1.0000,ok
+8070,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; Persona: data scientist; Task: robustness-check; Format: long-context; Language: PT_BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8070-907208.",travel classification regression-suite qa pt-br,clean,benchmark-grade,2026-02-23T04:59:32.955885Z,1.0000,ok
+8071,"Theme: travel classification regression-suite qa pt-br; Domain: classification; 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: 8071-238921.",travel classification regression-suite qa pt-br,minimal,consistent,2026-02-23T04:59:32.955885Z,1.0000,ok
+8072,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8072-968019.",travel classification regression-suite qa pt-br,cinematic,high-precision,2026-02-23T04:59:32.955885Z,1.0000,ok
+8073,"Theme: travel classification regression-suite qa pt-br; Domain: classification; 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: 8073-466600.",travel classification regression-suite qa pt-br,clean,commercial,2026-02-23T04:59:32.955885Z,1.0000,ok
+8074,"Theme: travel classification regression-suite qa pt-br; Domain: classification-production; Persona: ml engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8074-417566.",travel classification regression-suite qa pt-br,minimal,high-precision,2026-02-23T04:59:32.955885Z,1.0000,ok
+8075,"Theme: travel classification regression-suite qa pt-br; Domain: classification-production; Persona: ai researcher; Task: benchmarking; Format: qa; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8075-628728.",travel classification regression-suite qa pt-br,cinematic,consistent,2026-02-23T04:59:32.955885Z,1.0000,ok
+8076,"Theme: travel classification regression-suite qa pt-br; Domain: classification-production; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8076-601517.",travel classification regression-suite qa pt-br,production-ready,commercial,2026-02-23T04:59:32.955885Z,1.0000,ok
+8077,"Theme: travel classification regression-suite qa pt-br; Domain: classification-production; Persona: ml engineer; Task: grounding-check; Format: qa; Language: PT_BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8077-208462.",travel classification regression-suite qa pt-br,stylized,premium,2026-02-23T04:59:32.955885Z,1.0000,ok
+8078,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8078-811336.",travel classification regression-suite qa pt-br,clean,benchmark-grade,2026-02-23T04:59:32.955885Z,1.0000,ok
+8079,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8079-595316.",travel classification regression-suite qa pt-br,detailed,commercial,2026-02-23T04:59:32.955885Z,1.0000,ok
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+8102,"Theme: travel classification regression-suite qa pt-br; Domain: classification-qa; Persona: data scientist; Task: grounding-check; Format: qa; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8102-631084.",travel classification regression-suite qa pt-br,cinematic,high-precision,2026-02-23T04:59:32.955885Z,1.0000,ok
+8103,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; 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: 8103-362977.",travel classification regression-suite qa pt-br,stylized,high-precision,2026-02-23T04:59:32.955885Z,1.0000,ok
+8104,"Theme: travel classification regression-suite qa pt-br; Domain: classification-production; Persona: data scientist; Task: robustness-check; Format: qa; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8104-657987.",travel classification regression-suite qa pt-br,minimal,premium,2026-02-23T04:59:32.955885Z,1.0000,ok
+8105,"Theme: travel classification regression-suite qa pt-br; Domain: classification-production; Persona: ml engineer; Task: benchmarking; Format: qa; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8105-936553.",travel classification regression-suite qa pt-br,minimal,high-precision,2026-02-23T04:59:32.955885Z,1.0000,ok
+8106,"Theme: travel classification regression-suite qa pt-br; Domain: classification-qa; Persona: platform engineer; Task: quality-check; Format: long-context; Language: PT_BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8106-157959.",travel classification regression-suite qa pt-br,production-ready,consistent,2026-02-23T04:59:32.955885Z,1.0000,ok
+8107,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT_BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8107-238582.",travel classification regression-suite qa pt-br,stylized,high-precision,2026-02-23T04:59:32.955885Z,1.0000,ok
+8108,"Theme: travel classification regression-suite qa pt-br; Domain: classification-production; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: PT_BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8108-174187.",travel classification regression-suite qa pt-br,clean,premium,2026-02-23T04:59:32.955885Z,1.0000,ok
+8109,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8109-153095.",travel classification regression-suite qa pt-br,clean,premium,2026-02-23T04:59:32.955885Z,1.0000,ok
+8110,"Theme: travel classification regression-suite qa pt-br; Domain: classification-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: 8110-322159.",travel classification regression-suite qa pt-br,minimal,benchmark-grade,2026-02-23T04:59:32.955885Z,1.0000,ok
+8111,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; 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: 8111-614114.",travel classification regression-suite qa pt-br,stylized,benchmark-grade,2026-02-23T04:59:32.955885Z,1.0000,ok
+8112,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8112-388343.",travel classification regression-suite qa pt-br,minimal,consistent,2026-02-23T04:59:32.955885Z,1.0000,ok
+8113,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8113-926360.",travel classification regression-suite qa pt-br,detailed,premium,2026-02-23T04:59:32.955885Z,1.0000,ok
+8114,"Theme: travel classification regression-suite qa pt-br; Domain: classification-production; Persona: data scientist; Task: robustness-check; Format: qa; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8114-611959.",travel classification regression-suite qa pt-br,clean,premium,2026-02-23T04:59:32.955885Z,1.0000,ok
+8115,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT_BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8115-477472.",travel classification regression-suite qa pt-br,detailed,benchmark-grade,2026-02-23T04:59:32.955885Z,1.0000,ok
+8116,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: PT_BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8116-444826.",travel classification regression-suite qa pt-br,stylized,benchmark-grade,2026-02-23T04:59:32.955885Z,1.0000,ok
+8117,"Theme: travel classification regression-suite qa pt-br; Domain: classification-production; Persona: platform engineer; Task: quality-check; Format: qa; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8117-417014.",travel classification regression-suite qa pt-br,clean,high-precision,2026-02-23T04:59:32.955885Z,1.0000,ok
+8118,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8118-379974.",travel classification regression-suite qa pt-br,cinematic,benchmark-grade,2026-02-23T04:59:32.955885Z,1.0000,ok
+8119,"Theme: travel classification regression-suite qa pt-br; Domain: classification; 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: 8119-301773.",travel classification regression-suite qa pt-br,minimal,commercial,2026-02-23T04:59:32.955885Z,1.0000,ok
+8120,"Theme: travel classification regression-suite qa pt-br; Domain: classification-qa; Persona: data scientist; Task: robustness-check; Format: qa; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8120-386873.",travel classification regression-suite qa pt-br,stylized,benchmark-grade,2026-02-23T04:59:32.955885Z,1.0000,ok
+8121,"Theme: travel classification regression-suite qa pt-br; Domain: classification; 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: 8121-144512.",travel classification regression-suite qa pt-br,stylized,premium,2026-02-23T04:59:32.955885Z,1.0000,ok
+8122,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8122-790488.",travel classification regression-suite qa pt-br,minimal,high-precision,2026-02-23T04:59:32.955885Z,1.0000,ok
+8123,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; 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: 8123-920224.",travel classification regression-suite qa pt-br,clean,premium,2026-02-23T04:59:32.955885Z,1.0000,ok
+8124,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8124-410064.",travel classification regression-suite qa pt-br,minimal,benchmark-grade,2026-02-23T04:59:32.955885Z,1.0000,ok
+8125,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; 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: 8125-663133.",travel classification regression-suite qa pt-br,stylized,high-precision,2026-02-23T04:59:32.955885Z,1.0000,ok
+8126,"Theme: travel classification regression-suite qa pt-br; Domain: classification-qa; Persona: platform engineer; Task: benchmarking; Format: qa; Language: PT_BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8126-813784.",travel classification regression-suite qa pt-br,production-ready,commercial,2026-02-23T04:59:32.955885Z,1.0000,ok
+8127,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: ml engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8127-732302.",travel classification regression-suite qa pt-br,stylized,high-precision,2026-02-23T04:59:32.955885Z,1.0000,ok
+8128,"Theme: travel classification regression-suite qa pt-br; Domain: classification-qa; Persona: data scientist; Task: benchmarking; Format: long-context; Language: PT-BR; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8128-254109.",travel classification regression-suite qa pt-br,minimal,high-precision,2026-02-23T04:59:32.955885Z,1.0000,ok
+8129,"Theme: travel classification regression-suite qa pt-br; Domain: classification-production; Persona: data scientist; Task: robustness-check; Format: qa; Language: PT_BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8129-436963.",travel classification regression-suite qa pt-br,stylized,benchmark-grade,2026-02-23T04:59:32.955885Z,1.0000,ok
+8130,"Theme: travel classification regression-suite qa pt-br; Domain: classification-production; Persona: data scientist; Task: benchmarking; Format: long-context; Language: PT_BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8130-545271.",travel classification regression-suite qa pt-br,cinematic,benchmark-grade,2026-02-23T04:59:32.955885Z,1.0000,ok
+8131,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT_BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8131-827412.",travel classification regression-suite qa pt-br,production-ready,benchmark-grade,2026-02-23T04:59:32.955885Z,1.0000,ok
+8132,"Theme: travel classification regression-suite qa pt-br; Domain: classification-production; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8132-245600.",travel classification regression-suite qa pt-br,production-ready,commercial,2026-02-23T04:59:32.955885Z,1.0000,ok
+8133,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: platform engineer; Task: robustness-check; Format: qa; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8133-747791.",travel classification regression-suite qa pt-br,clean,consistent,2026-02-23T04:59:32.955885Z,1.0000,ok
+8134,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; Persona: ml engineer; Task: quality-check; Format: qa; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8134-244535.",travel classification regression-suite qa pt-br,clean,high-precision,2026-02-23T04:59:32.955885Z,1.0000,ok
+8135,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8135-950038.",travel classification regression-suite qa pt-br,detailed,high-precision,2026-02-23T04:59:32.955885Z,1.0000,ok
+8136,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8136-423586.",travel classification regression-suite qa pt-br,minimal,high-precision,2026-02-23T04:59:32.955885Z,1.0000,ok
+8137,"Theme: travel classification regression-suite qa pt-br; Domain: classification; 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: 8137-119543.",travel classification regression-suite qa pt-br,production-ready,premium,2026-02-23T04:59:32.955885Z,1.0000,ok
+8138,"Theme: travel classification regression-suite qa pt-br; Domain: classification; 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: 8138-821572.",travel classification regression-suite qa pt-br,clean,consistent,2026-02-23T04:59:32.955885Z,1.0000,ok
+8139,"Theme: travel classification regression-suite qa pt-br; Domain: classification-production; Persona: data scientist; Task: grounding-check; Format: long-context; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8139-224112.",travel classification regression-suite qa pt-br,stylized,commercial,2026-02-23T04:59:32.955885Z,1.0000,ok
+8140,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8140-508376.",travel classification regression-suite qa pt-br,production-ready,commercial,2026-02-23T04:59:32.955885Z,1.0000,ok
+8141,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: data scientist; Task: quality-check; Format: qa; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8141-334065.",travel classification regression-suite qa pt-br,detailed,consistent,2026-02-23T04:59:32.955885Z,1.0000,ok
+8142,"Theme: travel classification regression-suite qa pt-br; Domain: classification-qa; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: PT_BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8142-782733.",travel classification regression-suite qa pt-br,stylized,premium,2026-02-23T04:59:32.955885Z,1.0000,ok
+8143,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT_BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8143-600651.",travel classification regression-suite qa pt-br,clean,benchmark-grade,2026-02-23T04:59:32.955885Z,1.0000,ok
+8144,"Theme: travel classification regression-suite qa pt-br; Domain: classification-qa; Persona: ai researcher; Task: robustness-check; Format: qa; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8144-494226.",travel classification regression-suite qa pt-br,production-ready,premium,2026-02-23T04:59:32.955885Z,1.0000,ok
+8145,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: PT_BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8145-294622.",travel classification regression-suite qa pt-br,detailed,commercial,2026-02-23T04:59:32.955885Z,1.0000,ok
+8146,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8146-204052.",travel classification regression-suite qa pt-br,production-ready,benchmark-grade,2026-02-23T04:59:32.955885Z,1.0000,ok
+8147,"Theme: travel classification regression-suite qa pt-br; Domain: classification-qa; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8147-156842.",travel classification regression-suite qa pt-br,clean,premium,2026-02-23T04:59:32.955885Z,1.0000,ok
+8148,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8148-780083.",travel classification regression-suite qa pt-br,detailed,premium,2026-02-23T04:59:32.955885Z,1.0000,ok
+8149,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: PT_BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8149-688847.",travel classification regression-suite qa pt-br,detailed,commercial,2026-02-23T04:59:32.955885Z,1.0000,ok
+8150,"Theme: travel classification regression-suite qa pt-br; Domain: classification-production; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: PT_BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8150-713541.",travel classification regression-suite qa pt-br,cinematic,high-precision,2026-02-23T04:59:32.955885Z,1.0000,ok
+8151,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; Persona: platform engineer; Task: grounding-check; Format: qa; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8151-918662.",travel classification regression-suite qa pt-br,production-ready,commercial,2026-02-23T04:59:32.955885Z,1.0000,ok
+8152,"Theme: travel classification regression-suite qa pt-br; Domain: classification-production; Persona: platform engineer; Task: quality-check; Format: long-context; Language: PT_BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8152-862280.",travel classification regression-suite qa pt-br,stylized,benchmark-grade,2026-02-23T04:59:32.955885Z,1.0000,ok
+8153,"Theme: travel classification regression-suite qa pt-br; Domain: classification-production; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8153-911377.",travel classification regression-suite qa pt-br,stylized,premium,2026-02-23T04:59:32.955885Z,1.0000,ok
+8154,"Theme: travel classification regression-suite qa pt-br; Domain: classification-qa; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT_BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8154-205775.",travel classification regression-suite qa pt-br,production-ready,commercial,2026-02-23T04:59:32.955885Z,1.0000,ok
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+8166,"Theme: travel classification regression-suite qa pt-br; Domain: classification-qa; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8166-758149.",travel classification regression-suite qa pt-br,stylized,benchmark-grade,2026-02-23T04:59:32.955885Z,1.0000,ok
+8167,"Theme: travel classification regression-suite qa pt-br; Domain: classification-production; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: PT_BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8167-824760.",travel classification regression-suite qa pt-br,clean,premium,2026-02-23T04:59:32.955885Z,1.0000,ok
+8168,"Theme: travel classification regression-suite qa pt-br; Domain: classification-production; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8168-811344.",travel classification regression-suite qa pt-br,minimal,commercial,2026-02-23T04:59:32.955885Z,1.0000,ok
+8169,"Theme: travel classification regression-suite qa pt-br; Domain: classification; 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: 8169-941243.",travel classification regression-suite qa pt-br,production-ready,consistent,2026-02-23T04:59:32.955885Z,1.0000,ok
+8170,"Theme: travel classification regression-suite qa pt-br; Domain: classification-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: 8170-833890.",travel classification regression-suite qa pt-br,detailed,high-precision,2026-02-23T04:59:32.955885Z,1.0000,ok
+8171,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; 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: 8171-789973.",travel classification regression-suite qa pt-br,stylized,high-precision,2026-02-23T04:59:32.955885Z,1.0000,ok
+8172,"Theme: travel classification regression-suite qa pt-br; Domain: classification-qa; Persona: ml engineer; Task: robustness-check; Format: qa; Language: PT_BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8172-256549.",travel classification regression-suite qa pt-br,clean,commercial,2026-02-23T04:59:32.955885Z,1.0000,ok
+8173,"Theme: travel classification regression-suite qa pt-br; Domain: classification-production; Persona: ai researcher; Task: quality-check; Format: qa; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8173-808532.",travel classification regression-suite qa pt-br,cinematic,commercial,2026-02-23T04:59:32.955885Z,1.0000,ok
+8174,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: ai researcher; Task: quality-check; Format: long-context; Language: PT_BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8174-191230.",travel classification regression-suite qa pt-br,production-ready,high-precision,2026-02-23T04:59:32.955885Z,1.0000,ok
+8175,"Theme: travel classification regression-suite qa pt-br; Domain: classification-production; Persona: ai researcher; Task: benchmarking; Format: qa; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8175-902203.",travel classification regression-suite qa pt-br,clean,consistent,2026-02-23T04:59:32.955885Z,1.0000,ok
+8176,"Theme: travel classification regression-suite qa pt-br; Domain: classification-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: 8176-869350.",travel classification regression-suite qa pt-br,detailed,high-precision,2026-02-23T04:59:32.955885Z,1.0000,ok
+8177,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8177-437800.",travel classification regression-suite qa pt-br,detailed,high-precision,2026-02-23T04:59:32.955885Z,1.0000,ok
+8178,"Theme: travel classification regression-suite qa pt-br; Domain: classification-qa; 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: 8178-526092.",travel classification regression-suite qa pt-br,cinematic,premium,2026-02-23T04:59:32.955885Z,1.0000,ok
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+8180,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8180-993886.",travel classification regression-suite qa pt-br,detailed,premium,2026-02-23T04:59:32.955885Z,1.0000,ok
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+8183,"Theme: travel classification regression-suite qa pt-br; Domain: classification-qa; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: PT_BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8183-154230.",travel classification regression-suite qa pt-br,stylized,premium,2026-02-23T04:59:32.955885Z,1.0000,ok
+8184,"Theme: travel classification regression-suite qa pt-br; Domain: classification-qa; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT_BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8184-729660.",travel classification regression-suite qa pt-br,production-ready,premium,2026-02-23T04:59:32.955885Z,1.0000,ok
+8185,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; Persona: ml engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8185-506278.",travel classification regression-suite qa pt-br,stylized,benchmark-grade,2026-02-23T04:59:32.955885Z,1.0000,ok
+8186,"Theme: travel classification regression-suite qa pt-br; Domain: classification-production; Persona: ml engineer; Task: quality-check; Format: qa; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8186-591585.",travel classification regression-suite qa pt-br,stylized,benchmark-grade,2026-02-23T04:59:32.955885Z,1.0000,ok
+8187,"Theme: travel classification regression-suite qa pt-br; Domain: classification-production; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT_BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8187-147848.",travel classification regression-suite qa pt-br,production-ready,benchmark-grade,2026-02-23T04:59:32.955885Z,1.0000,ok
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+8189,"Theme: travel classification regression-suite qa pt-br; Domain: classification-qa; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: PT_BR; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8189-973406.",travel classification regression-suite qa pt-br,cinematic,benchmark-grade,2026-02-23T04:59:32.955885Z,1.0000,ok
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+8192,"Theme: travel classification regression-suite qa pt-br; Domain: classification-qa; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8192-770558.",travel classification regression-suite qa pt-br,production-ready,premium,2026-02-23T04:59:32.955885Z,1.0000,ok
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+8194,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8194-395814.",travel classification regression-suite qa pt-br,stylized,commercial,2026-02-23T04:59:32.955885Z,1.0000,ok
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+8196,"Theme: travel classification regression-suite qa pt-br; Domain: classification; 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: 8196-399214.",travel classification regression-suite qa pt-br,cinematic,high-precision,2026-02-23T04:59:32.955885Z,1.0000,ok
+8197,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; Persona: platform engineer; Task: quality-check; Format: qa; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8197-977011.",travel classification regression-suite qa pt-br,clean,high-precision,2026-02-23T04:59:32.955885Z,1.0000,ok
+8198,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: ml engineer; Task: benchmarking; Format: qa; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8198-619694.",travel classification regression-suite qa pt-br,cinematic,premium,2026-02-23T04:59:32.955885Z,1.0000,ok
+8199,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8199-536443.",travel classification regression-suite qa pt-br,detailed,premium,2026-02-23T04:59:32.955885Z,1.0000,ok
+8200,"Theme: travel classification regression-suite qa pt-br; Domain: classification-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: 8200-949263.",travel classification regression-suite qa pt-br,production-ready,consistent,2026-02-23T04:59:32.955885Z,1.0000,ok
+8201,"Theme: travel classification regression-suite qa pt-br; Domain: classification-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: 8201-857630.",travel classification regression-suite qa pt-br,detailed,benchmark-grade,2026-02-23T04:59:32.955885Z,1.0000,ok
+8202,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8202-984617.",travel classification regression-suite qa pt-br,detailed,high-precision,2026-02-23T04:59:32.955885Z,1.0000,ok
+8203,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8203-176409.",travel classification regression-suite qa pt-br,cinematic,high-precision,2026-02-23T04:59:32.955885Z,1.0000,ok
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+8207,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: platform engineer; Task: grounding-check; Format: qa; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8207-727426.",travel classification regression-suite qa pt-br,stylized,premium,2026-02-23T04:59:32.955885Z,1.0000,ok
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+8243,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8243-691847.",travel classification regression-suite qa pt-br,detailed,high-precision,2026-02-23T04:59:32.955885Z,1.0000,ok
+8244,"Theme: travel classification regression-suite qa pt-br; Domain: classification-production; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8244-659922.",travel classification regression-suite qa pt-br,clean,benchmark-grade,2026-02-23T04:59:32.955885Z,1.0000,ok
+8245,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; Persona: ai researcher; Task: grounding-check; Format: qa; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8245-585664.",travel classification regression-suite qa pt-br,production-ready,consistent,2026-02-23T04:59:32.955885Z,1.0000,ok
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+8247,"Theme: travel classification regression-suite qa pt-br; Domain: classification-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: 8247-550650.",travel classification regression-suite qa pt-br,minimal,high-precision,2026-02-23T04:59:32.955885Z,1.0000,ok
+8248,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: ai researcher; Task: quality-check; Format: qa; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8248-995006.",travel classification regression-suite qa pt-br,clean,commercial,2026-02-23T04:59:32.955885Z,1.0000,ok
+8249,"Theme: travel classification regression-suite qa pt-br; Domain: classification-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: 8249-141712.",travel classification regression-suite qa pt-br,detailed,commercial,2026-02-23T04:59:32.955885Z,1.0000,ok
+8250,"Theme: travel classification regression-suite qa pt-br; Domain: classification-production; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: PT_BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8250-682294.",travel classification regression-suite qa pt-br,detailed,commercial,2026-02-23T04:59:32.955885Z,1.0000,ok
+8251,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8251-909432.",travel classification regression-suite qa pt-br,cinematic,commercial,2026-02-23T04:59:32.955885Z,1.0000,ok
+8252,"Theme: travel classification regression-suite qa pt-br; Domain: classification-qa; 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: 8252-989623.",travel classification regression-suite qa pt-br,cinematic,commercial,2026-02-23T04:59:32.955885Z,1.0000,ok
+8253,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; 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: 8253-689053.",travel classification regression-suite qa pt-br,clean,benchmark-grade,2026-02-23T04:59:32.955885Z,1.0000,ok
+8254,"Theme: travel classification regression-suite qa pt-br; Domain: classification-production; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8254-825068.",travel classification regression-suite qa pt-br,cinematic,commercial,2026-02-23T04:59:32.955885Z,1.0000,ok
+8255,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: PT_BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8255-274583.",travel classification regression-suite qa pt-br,clean,commercial,2026-02-23T04:59:32.955885Z,1.0000,ok
+8256,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; Persona: platform engineer; Task: quality-check; Format: qa; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8256-917904.",travel classification regression-suite qa pt-br,production-ready,consistent,2026-02-23T04:59:32.955885Z,1.0000,ok
+8257,"Theme: travel classification regression-suite qa pt-br; Domain: classification-production; Persona: ai researcher; Task: quality-check; Format: qa; Language: PT_BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8257-666063.",travel classification regression-suite qa pt-br,stylized,premium,2026-02-23T04:59:32.955885Z,1.0000,ok
+8258,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; 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: 8258-223784.",travel classification regression-suite qa pt-br,stylized,consistent,2026-02-23T04:59:32.955885Z,1.0000,ok
+8259,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; 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: 8259-532482.",travel classification regression-suite qa pt-br,detailed,high-precision,2026-02-23T04:59:32.955885Z,1.0000,ok
+8260,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT_BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8260-123828.",travel classification regression-suite qa pt-br,cinematic,premium,2026-02-23T04:59:32.955885Z,1.0000,ok
+8261,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; 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: 8261-193573.",travel classification regression-suite qa pt-br,cinematic,commercial,2026-02-23T04:59:32.955885Z,1.0000,ok
+8262,"Theme: travel classification regression-suite qa pt-br; Domain: classification-qa; Persona: data scientist; Task: quality-check; Format: qa; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8262-395039.",travel classification regression-suite qa pt-br,detailed,commercial,2026-02-23T04:59:32.955885Z,1.0000,ok
+8263,"Theme: travel classification regression-suite qa pt-br; Domain: classification-qa; Persona: ml engineer; Task: benchmarking; Format: qa; Language: PT_BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8263-961011.",travel classification regression-suite qa pt-br,stylized,high-precision,2026-02-23T04:59:32.955885Z,1.0000,ok
+8264,"Theme: travel classification regression-suite qa pt-br; Domain: classification; 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: 8264-165360.",travel classification regression-suite qa pt-br,detailed,high-precision,2026-02-23T04:59:32.955885Z,1.0000,ok
+8265,"Theme: travel classification regression-suite qa pt-br; Domain: classification-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: 8265-720361.",travel classification regression-suite qa pt-br,detailed,consistent,2026-02-23T04:59:32.955885Z,1.0000,ok
+8266,"Theme: travel classification regression-suite qa pt-br; Domain: classification; 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: 8266-849259.",travel classification regression-suite qa pt-br,clean,high-precision,2026-02-23T04:59:32.955885Z,1.0000,ok
+8267,"Theme: travel classification regression-suite qa pt-br; Domain: classification-production; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8267-972450.",travel classification regression-suite qa pt-br,production-ready,commercial,2026-02-23T04:59:32.955885Z,1.0000,ok
+8268,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: ml engineer; Task: benchmarking; Format: qa; Language: PT_BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8268-119907.",travel classification regression-suite qa pt-br,detailed,consistent,2026-02-23T04:59:32.955885Z,1.0000,ok
+8269,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8269-208393.",travel classification regression-suite qa pt-br,clean,commercial,2026-02-23T04:59:32.955885Z,1.0000,ok
+8270,"Theme: travel classification regression-suite qa pt-br; Domain: classification-qa; Persona: platform engineer; Task: quality-check; Format: qa; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8270-909160.",travel classification regression-suite qa pt-br,minimal,high-precision,2026-02-23T04:59:32.955885Z,1.0000,ok
+8271,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: PT_BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8271-324615.",travel classification regression-suite qa pt-br,stylized,consistent,2026-02-23T04:59:32.955885Z,1.0000,ok
+8272,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8272-895142.",travel classification regression-suite qa pt-br,clean,high-precision,2026-02-23T04:59:32.955885Z,1.0000,ok
+8273,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8273-141819.",travel classification regression-suite qa pt-br,detailed,benchmark-grade,2026-02-23T04:59:32.955885Z,1.0000,ok
+8274,"Theme: travel classification regression-suite qa pt-br; Domain: classification-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: 8274-382218.",travel classification regression-suite qa pt-br,production-ready,commercial,2026-02-23T04:59:32.955885Z,1.0000,ok
+8275,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8275-487542.",travel classification regression-suite qa pt-br,detailed,commercial,2026-02-23T04:59:32.955885Z,1.0000,ok
+8276,"Theme: travel classification regression-suite qa pt-br; Domain: classification-qa; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8276-213544.",travel classification regression-suite qa pt-br,minimal,commercial,2026-02-23T04:59:32.955885Z,1.0000,ok
+8277,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT_BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8277-738225.",travel classification regression-suite qa pt-br,stylized,consistent,2026-02-23T04:59:32.955885Z,1.0000,ok
+8278,"Theme: travel classification regression-suite qa pt-br; Domain: classification-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: 8278-751969.",travel classification regression-suite qa pt-br,cinematic,consistent,2026-02-23T04:59:32.955885Z,1.0000,ok
+8279,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT_BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8279-323108.",travel classification regression-suite qa pt-br,detailed,premium,2026-02-23T04:59:32.955885Z,1.0000,ok
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+8282,"Theme: travel classification regression-suite qa pt-br; Domain: classification; 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: 8282-624131.",travel classification regression-suite qa pt-br,production-ready,high-precision,2026-02-23T04:59:32.955885Z,1.0000,ok
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+8284,"Theme: travel classification regression-suite qa pt-br; Domain: classification; 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: 8284-999010.",travel classification regression-suite qa pt-br,cinematic,high-precision,2026-02-23T04:59:32.955885Z,1.0000,ok
+8285,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; 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: 8285-324752.",travel classification regression-suite qa pt-br,stylized,premium,2026-02-23T04:59:32.955885Z,1.0000,ok
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+8287,"Theme: travel classification regression-suite qa pt-br; Domain: classification-production; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT_BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8287-987302.",travel classification regression-suite qa pt-br,clean,premium,2026-02-23T04:59:32.955885Z,1.0000,ok
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+8299,"Theme: travel classification regression-suite qa pt-br; Domain: classification-qa; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8299-136264.",travel classification regression-suite qa pt-br,clean,high-precision,2026-02-23T04:59:32.955885Z,1.0000,ok
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+8301,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: PT_BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8301-141193.",travel classification regression-suite qa pt-br,detailed,high-precision,2026-02-23T04:59:32.955885Z,1.0000,ok
+8302,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: data scientist; Task: grounding-check; Format: long-context; Language: PT_BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8302-525716.",travel classification regression-suite qa pt-br,cinematic,premium,2026-02-23T04:59:32.955885Z,1.0000,ok
+8303,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: data scientist; Task: grounding-check; Format: qa; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8303-847794.",travel classification regression-suite qa pt-br,clean,consistent,2026-02-23T04:59:32.955885Z,1.0000,ok
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+8305,"Theme: travel classification regression-suite qa pt-br; Domain: classification-qa; Persona: data scientist; Task: benchmarking; Format: long-context; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8305-666010.",travel classification regression-suite qa pt-br,production-ready,premium,2026-02-23T04:59:32.955885Z,1.0000,ok
+8306,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: ml engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8306-907583.",travel classification regression-suite qa pt-br,stylized,consistent,2026-02-23T04:59:32.955885Z,1.0000,ok
+8307,"Theme: travel classification regression-suite qa pt-br; Domain: classification-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: 8307-617832.",travel classification regression-suite qa pt-br,production-ready,commercial,2026-02-23T04:59:32.955885Z,1.0000,ok
+8308,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; 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: 8308-549539.",travel classification regression-suite qa pt-br,clean,benchmark-grade,2026-02-23T04:59:32.955885Z,1.0000,ok
+8309,"Theme: travel classification regression-suite qa pt-br; Domain: classification-production; Persona: data scientist; Task: quality-check; Format: qa; Language: PT_BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8309-994549.",travel classification regression-suite qa pt-br,cinematic,benchmark-grade,2026-02-23T04:59:32.955885Z,1.0000,ok
+8310,"Theme: travel classification regression-suite qa pt-br; Domain: classification-qa; Persona: ai researcher; Task: robustness-check; Format: qa; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8310-965635.",travel classification regression-suite qa pt-br,production-ready,premium,2026-02-23T04:59:32.955885Z,1.0000,ok
+8311,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: platform engineer; Task: quality-check; Format: long-context; Language: PT_BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8311-910606.",travel classification regression-suite qa pt-br,cinematic,high-precision,2026-02-23T04:59:32.955885Z,1.0000,ok
+8312,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: platform engineer; Task: grounding-check; Format: qa; Language: PT_BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8312-233313.",travel classification regression-suite qa pt-br,production-ready,consistent,2026-02-23T04:59:32.955885Z,1.0000,ok
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+8316,"Theme: travel classification regression-suite qa pt-br; Domain: classification-qa; Persona: data scientist; Task: quality-check; Format: qa; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8316-398383.",travel classification regression-suite qa pt-br,cinematic,commercial,2026-02-23T04:59:32.955885Z,1.0000,ok
+8317,"Theme: travel classification regression-suite qa pt-br; Domain: classification-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: 8317-437756.",travel classification regression-suite qa pt-br,clean,high-precision,2026-02-23T04:59:32.955885Z,1.0000,ok
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+8319,"Theme: travel classification regression-suite qa pt-br; Domain: classification; 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: 8319-949430.",travel classification regression-suite qa pt-br,stylized,commercial,2026-02-23T04:59:32.955885Z,1.0000,ok
+8320,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: data scientist; Task: robustness-check; Format: qa; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8320-287296.",travel classification regression-suite qa pt-br,cinematic,commercial,2026-02-23T04:59:32.955885Z,1.0000,ok
+8321,"Theme: travel classification regression-suite qa pt-br; Domain: classification-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: 8321-119623.",travel classification regression-suite qa pt-br,detailed,high-precision,2026-02-23T04:59:32.955885Z,1.0000,ok
+8322,"Theme: travel classification regression-suite qa pt-br; Domain: classification-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: 8322-454111.",travel classification regression-suite qa pt-br,cinematic,premium,2026-02-23T04:59:32.955885Z,1.0000,ok
+8323,"Theme: travel classification regression-suite qa pt-br; Domain: classification-production; Persona: data scientist; Task: quality-check; Format: qa; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8323-880518.",travel classification regression-suite qa pt-br,production-ready,consistent,2026-02-23T04:59:32.955885Z,1.0000,ok
+8324,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8324-616834.",travel classification regression-suite qa pt-br,detailed,high-precision,2026-02-23T04:59:32.955885Z,1.0000,ok
+8325,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; Persona: ai researcher; Task: quality-check; Format: long-context; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8325-101962.",travel classification regression-suite qa pt-br,cinematic,high-precision,2026-02-23T04:59:32.955885Z,1.0000,ok
+8326,"Theme: travel classification regression-suite qa pt-br; Domain: classification-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: 8326-673998.",travel classification regression-suite qa pt-br,stylized,benchmark-grade,2026-02-23T04:59:32.955885Z,1.0000,ok
+8327,"Theme: travel classification regression-suite qa pt-br; Domain: classification-production; Persona: data scientist; Task: quality-check; Format: qa; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8327-651430.",travel classification regression-suite qa pt-br,minimal,consistent,2026-02-23T04:59:32.955885Z,1.0000,ok
+8328,"Theme: travel classification regression-suite qa pt-br; Domain: classification-qa; Persona: ai researcher; Task: grounding-check; Format: qa; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8328-425624.",travel classification regression-suite qa pt-br,cinematic,benchmark-grade,2026-02-23T04:59:32.955885Z,1.0000,ok
+8329,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8329-929045.",travel classification regression-suite qa pt-br,production-ready,commercial,2026-02-23T04:59:32.955885Z,1.0000,ok
+8330,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT_BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8330-454532.",travel classification regression-suite qa pt-br,clean,premium,2026-02-23T04:59:32.955885Z,1.0000,ok
+8331,"Theme: travel classification regression-suite qa pt-br; Domain: classification-qa; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8331-375701.",travel classification regression-suite qa pt-br,cinematic,commercial,2026-02-23T04:59:32.955885Z,1.0000,ok
+8332,"Theme: travel classification regression-suite qa pt-br; Domain: classification-production; Persona: ai researcher; Task: grounding-check; Format: qa; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8332-268693.",travel classification regression-suite qa pt-br,clean,benchmark-grade,2026-02-23T04:59:32.955885Z,1.0000,ok
+8333,"Theme: travel classification regression-suite qa pt-br; Domain: classification-production; Persona: data scientist; Task: robustness-check; Format: qa; Language: PT_BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8333-811973.",travel classification regression-suite qa pt-br,production-ready,premium,2026-02-23T04:59:32.955885Z,1.0000,ok
+8334,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; Persona: ml engineer; Task: robustness-check; Format: qa; Language: PT_BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8334-641357.",travel classification regression-suite qa pt-br,cinematic,benchmark-grade,2026-02-23T04:59:32.955885Z,1.0000,ok
+8335,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8335-564691.",travel classification regression-suite qa pt-br,minimal,commercial,2026-02-23T04:59:32.955885Z,1.0000,ok
+8336,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: data scientist; Task: grounding-check; Format: qa; Language: PT_BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8336-399259.",travel classification regression-suite qa pt-br,minimal,benchmark-grade,2026-02-23T04:59:32.955885Z,1.0000,ok
+8337,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; Persona: ml engineer; Task: benchmarking; Format: qa; Language: PT_BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8337-947662.",travel classification regression-suite qa pt-br,cinematic,premium,2026-02-23T04:59:32.955885Z,1.0000,ok
+8338,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; 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: 8338-553058.",travel classification regression-suite qa pt-br,clean,premium,2026-02-23T04:59:32.955885Z,1.0000,ok
+8339,"Theme: travel classification regression-suite qa pt-br; Domain: classification-production; Persona: platform engineer; Task: robustness-check; Format: qa; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8339-361667.",travel classification regression-suite qa pt-br,clean,consistent,2026-02-23T04:59:32.955885Z,1.0000,ok
+8340,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; 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: 8340-524064.",travel classification regression-suite qa pt-br,detailed,premium,2026-02-23T04:59:32.955885Z,1.0000,ok
+8341,"Theme: travel classification regression-suite qa pt-br; Domain: classification; 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: 8341-929910.",travel classification regression-suite qa pt-br,stylized,premium,2026-02-23T04:59:32.955885Z,1.0000,ok
+8342,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8342-360425.",travel classification regression-suite qa pt-br,minimal,premium,2026-02-23T04:59:32.955885Z,1.0000,ok
+8343,"Theme: travel classification regression-suite qa pt-br; Domain: classification-qa; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8343-333753.",travel classification regression-suite qa pt-br,clean,consistent,2026-02-23T04:59:32.955885Z,1.0000,ok
+8344,"Theme: travel classification regression-suite qa pt-br; Domain: classification-qa; Persona: data scientist; Task: quality-check; Format: qa; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8344-292048.",travel classification regression-suite qa pt-br,minimal,premium,2026-02-23T04:59:32.955885Z,1.0000,ok
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+8346,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; Persona: platform engineer; Task: quality-check; Format: long-context; Language: PT_BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8346-877751.",travel classification regression-suite qa pt-br,cinematic,high-precision,2026-02-23T04:59:32.955885Z,1.0000,ok
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+8351,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: data scientist; Task: robustness-check; Format: qa; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8351-701248.",travel classification regression-suite qa pt-br,minimal,premium,2026-02-23T04:59:32.955885Z,1.0000,ok
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+8371,"Theme: travel classification regression-suite qa pt-br; Domain: classification-production; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8371-941173.",travel classification regression-suite qa pt-br,detailed,high-precision,2026-02-23T04:59:32.955885Z,1.0000,ok
+8372,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: ai researcher; Task: quality-check; Format: qa; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8372-485072.",travel classification regression-suite qa pt-br,stylized,commercial,2026-02-23T04:59:32.955885Z,1.0000,ok
+8373,"Theme: travel classification regression-suite qa pt-br; Domain: classification-production; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8373-299629.",travel classification regression-suite qa pt-br,stylized,high-precision,2026-02-23T04:59:32.955885Z,1.0000,ok
+8374,"Theme: travel classification regression-suite qa pt-br; Domain: classification-production; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: PT_BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8374-195154.",travel classification regression-suite qa pt-br,minimal,high-precision,2026-02-23T04:59:32.955885Z,1.0000,ok
+8375,"Theme: travel classification regression-suite qa pt-br; Domain: classification-qa; Persona: platform engineer; Task: robustness-check; Format: qa; Language: PT_BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8375-300040.",travel classification regression-suite qa pt-br,minimal,premium,2026-02-23T04:59:32.955885Z,1.0000,ok
+8376,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; 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: 8376-632432.",travel classification regression-suite qa pt-br,cinematic,benchmark-grade,2026-02-23T04:59:32.955885Z,1.0000,ok
+8377,"Theme: travel classification regression-suite qa pt-br; Domain: classification-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: 8377-187960.",travel classification regression-suite qa pt-br,minimal,high-precision,2026-02-23T04:59:32.955885Z,1.0000,ok
+8378,"Theme: travel classification regression-suite qa pt-br; Domain: classification-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: 8378-556772.",travel classification regression-suite qa pt-br,minimal,high-precision,2026-02-23T04:59:32.955885Z,1.0000,ok
+8379,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: data scientist; Task: benchmarking; Format: qa; Language: PT_BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8379-973667.",travel classification regression-suite qa pt-br,clean,premium,2026-02-23T04:59:32.955885Z,1.0000,ok
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+8392,"Theme: travel classification regression-suite qa pt-br; Domain: classification-qa; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT_BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8392-292843.",travel classification regression-suite qa pt-br,minimal,benchmark-grade,2026-02-23T04:59:32.955885Z,1.0000,ok
+8393,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8393-482171.",travel classification regression-suite qa pt-br,detailed,premium,2026-02-23T04:59:32.955885Z,1.0000,ok
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+8396,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT_BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8396-651898.",travel classification regression-suite qa pt-br,stylized,benchmark-grade,2026-02-23T04:59:32.955885Z,1.0000,ok
+8397,"Theme: travel classification regression-suite qa pt-br; Domain: classification-production; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8397-335746.",travel classification regression-suite qa pt-br,stylized,commercial,2026-02-23T04:59:32.955885Z,1.0000,ok
+8398,"Theme: travel classification regression-suite qa pt-br; Domain: classification; 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: 8398-812175.",travel classification regression-suite qa pt-br,production-ready,commercial,2026-02-23T04:59:32.955885Z,1.0000,ok
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+8402,"Theme: travel classification regression-suite qa pt-br; Domain: classification-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: 8402-914584.",travel classification regression-suite qa pt-br,clean,high-precision,2026-02-23T04:59:32.955885Z,1.0000,ok
+8403,"Theme: travel classification regression-suite qa pt-br; Domain: classification-production; Persona: platform engineer; Task: grounding-check; Format: qa; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8403-181942.",travel classification regression-suite qa pt-br,stylized,consistent,2026-02-23T04:59:32.955885Z,1.0000,ok
+8404,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: platform engineer; Task: robustness-check; Format: qa; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8404-258843.",travel classification regression-suite qa pt-br,stylized,commercial,2026-02-23T04:59:32.955885Z,1.0000,ok
+8405,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: data scientist; Task: quality-check; Format: qa; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8405-816531.",travel classification regression-suite qa pt-br,minimal,benchmark-grade,2026-02-23T04:59:32.955885Z,1.0000,ok
+8406,"Theme: travel classification regression-suite qa pt-br; Domain: classification-qa; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: PT_BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8406-322502.",travel classification regression-suite qa pt-br,stylized,consistent,2026-02-23T04:59:32.955885Z,1.0000,ok
+8407,"Theme: travel classification regression-suite qa pt-br; Domain: classification-production; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8407-238368.",travel classification regression-suite qa pt-br,cinematic,premium,2026-02-23T04:59:32.955885Z,1.0000,ok
+8408,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8408-276214.",travel classification regression-suite qa pt-br,clean,benchmark-grade,2026-02-23T04:59:32.955885Z,1.0000,ok
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+8441,"Theme: travel classification regression-suite qa pt-br; Domain: classification-qa; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: PT_BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8441-624025.",travel classification regression-suite qa pt-br,cinematic,benchmark-grade,2026-02-23T04:59:32.955885Z,1.0000,ok
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+8444,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT_BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8444-224863.",travel classification regression-suite qa pt-br,production-ready,commercial,2026-02-23T04:59:32.955885Z,1.0000,ok
+8445,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT_BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8445-181744.",travel classification regression-suite qa pt-br,detailed,benchmark-grade,2026-02-23T04:59:32.955885Z,1.0000,ok
+8446,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; Persona: ai researcher; Task: quality-check; Format: long-context; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8446-440693.",travel classification regression-suite qa pt-br,production-ready,consistent,2026-02-23T04:59:32.955885Z,1.0000,ok
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+8448,"Theme: travel classification regression-suite qa pt-br; Domain: classification-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: 8448-841197.",travel classification regression-suite qa pt-br,minimal,benchmark-grade,2026-02-23T04:59:32.955885Z,1.0000,ok
+8449,"Theme: travel classification regression-suite qa pt-br; Domain: classification-production; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8449-382402.",travel classification regression-suite qa pt-br,detailed,consistent,2026-02-23T04:59:32.955885Z,1.0000,ok
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+8451,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: PT_BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8451-790738.",travel classification regression-suite qa pt-br,production-ready,commercial,2026-02-23T04:59:32.955885Z,1.0000,ok
+8452,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: PT_BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8452-436379.",travel classification regression-suite qa pt-br,minimal,consistent,2026-02-23T04:59:32.955885Z,1.0000,ok
+8453,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT_BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8453-115245.",travel classification regression-suite qa pt-br,cinematic,premium,2026-02-23T04:59:32.955885Z,1.0000,ok
+8454,"Theme: travel classification regression-suite qa pt-br; Domain: classification-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: 8454-217057.",travel classification regression-suite qa pt-br,minimal,consistent,2026-02-23T04:59:32.955885Z,1.0000,ok
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+8457,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; Persona: ai researcher; Task: grounding-check; Format: qa; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8457-542270.",travel classification regression-suite qa pt-br,clean,benchmark-grade,2026-02-23T04:59:32.955885Z,1.0000,ok
+8458,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; Persona: ml engineer; Task: grounding-check; Format: qa; Language: PT_BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8458-145019.",travel classification regression-suite qa pt-br,cinematic,consistent,2026-02-23T04:59:32.955885Z,1.0000,ok
+8459,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT_BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8459-666096.",travel classification regression-suite qa pt-br,minimal,high-precision,2026-02-23T04:59:32.955885Z,1.0000,ok
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+8461,"Theme: travel classification regression-suite qa pt-br; Domain: classification-qa; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8461-476869.",travel classification regression-suite qa pt-br,cinematic,high-precision,2026-02-23T04:59:32.955885Z,1.0000,ok
+8462,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; Persona: platform engineer; Task: benchmarking; Format: qa; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8462-992064.",travel classification regression-suite qa pt-br,clean,benchmark-grade,2026-02-23T04:59:32.955885Z,1.0000,ok
+8463,"Theme: travel classification regression-suite qa pt-br; Domain: classification-qa; Persona: ai researcher; Task: quality-check; Format: qa; Language: EN-US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8463-936213.",travel classification regression-suite qa pt-br,clean,consistent,2026-02-23T04:59:32.955885Z,1.0000,ok
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+8467,"Theme: travel classification regression-suite qa pt-br; Domain: classification-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: 8467-700450.",travel classification regression-suite qa pt-br,minimal,commercial,2026-02-23T04:59:32.955885Z,1.0000,ok
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+8469,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: ml engineer; Task: grounding-check; Format: qa; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8469-731225.",travel classification regression-suite qa pt-br,production-ready,benchmark-grade,2026-02-23T04:59:32.955885Z,1.0000,ok
+8470,"Theme: travel classification regression-suite qa pt-br; Domain: classification-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: 8470-956209.",travel classification regression-suite qa pt-br,cinematic,commercial,2026-02-23T04:59:32.955885Z,1.0000,ok
+8471,"Theme: travel classification regression-suite qa pt-br; Domain: classification-production; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8471-400045.",travel classification regression-suite qa pt-br,production-ready,commercial,2026-02-23T04:59:32.955885Z,1.0000,ok
+8472,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8472-627612.",travel classification regression-suite qa pt-br,stylized,commercial,2026-02-23T04:59:32.955885Z,1.0000,ok
+8473,"Theme: travel classification regression-suite qa pt-br; Domain: classification-production; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8473-603055.",travel classification regression-suite qa pt-br,detailed,premium,2026-02-23T04:59:32.955885Z,1.0000,ok
+8474,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: PT_BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8474-405853.",travel classification regression-suite qa pt-br,production-ready,consistent,2026-02-23T04:59:32.955885Z,1.0000,ok
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+8476,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8476-804763.",travel classification regression-suite qa pt-br,detailed,high-precision,2026-02-23T04:59:32.955885Z,1.0000,ok
+8477,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; Persona: platform engineer; Task: benchmarking; Format: qa; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8477-772599.",travel classification regression-suite qa pt-br,clean,premium,2026-02-23T04:59:32.955885Z,1.0000,ok
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+8480,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: ml engineer; Task: quality-check; Format: qa; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8480-890111.",travel classification regression-suite qa pt-br,cinematic,commercial,2026-02-23T04:59:32.955885Z,1.0000,ok
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+8482,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: ml engineer; Task: quality-check; Format: qa; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8482-158080.",travel classification regression-suite qa pt-br,detailed,benchmark-grade,2026-02-23T04:59:32.955885Z,1.0000,ok
+8483,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: data scientist; Task: robustness-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8483-765556.",travel classification regression-suite qa pt-br,cinematic,consistent,2026-02-23T04:59:32.955885Z,1.0000,ok
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+8492,"Theme: travel classification regression-suite qa pt-br; Domain: classification; 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: 8492-930030.",travel classification regression-suite qa pt-br,cinematic,consistent,2026-02-23T04:59:32.955885Z,1.0000,ok
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+8501,"Theme: travel classification regression-suite qa pt-br; Domain: classification-qa; 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: 8501-822575.",travel classification regression-suite qa pt-br,detailed,high-precision,2026-02-23T04:59:32.955885Z,1.0000,ok
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+8505,"Theme: travel classification regression-suite qa pt-br; Domain: classification-production; 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: 8505-709318.",travel classification regression-suite qa pt-br,production-ready,high-precision,2026-02-23T04:59:32.955885Z,1.0000,ok
+8506,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: PT_BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8506-779789.",travel classification regression-suite qa pt-br,stylized,consistent,2026-02-23T04:59:32.955885Z,1.0000,ok
+8507,"Theme: travel classification regression-suite qa pt-br; Domain: classification; 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: 8507-866927.",travel classification regression-suite qa pt-br,detailed,consistent,2026-02-23T04:59:32.955885Z,1.0000,ok
+8508,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8508-390177.",travel classification regression-suite qa pt-br,cinematic,benchmark-grade,2026-02-23T04:59:32.955885Z,1.0000,ok
+8509,"Theme: travel classification regression-suite qa pt-br; Domain: classification-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: 8509-105731.",travel classification regression-suite qa pt-br,cinematic,high-precision,2026-02-23T04:59:32.955885Z,1.0000,ok
+8510,"Theme: travel classification regression-suite qa pt-br; Domain: classification-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: 8510-149169.",travel classification regression-suite qa pt-br,production-ready,premium,2026-02-23T04:59:32.955885Z,1.0000,ok
+8511,"Theme: travel classification regression-suite qa pt-br; Domain: classification-qa; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8511-225928.",travel classification regression-suite qa pt-br,detailed,benchmark-grade,2026-02-23T04:59:32.955885Z,1.0000,ok
+8512,"Theme: travel classification regression-suite qa pt-br; Domain: classification-production; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8512-163227.",travel classification regression-suite qa pt-br,clean,premium,2026-02-23T04:59:32.955885Z,1.0000,ok
+8513,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8513-539191.",travel classification regression-suite qa pt-br,detailed,consistent,2026-02-23T04:59:32.955885Z,1.0000,ok
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+8515,"Theme: travel classification regression-suite qa pt-br; Domain: classification-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: 8515-334393.",travel classification regression-suite qa pt-br,clean,benchmark-grade,2026-02-23T04:59:32.955885Z,1.0000,ok
+8516,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8516-497153.",travel classification regression-suite qa pt-br,clean,benchmark-grade,2026-02-23T04:59:32.955885Z,1.0000,ok
+8517,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; 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: 8517-271872.",travel classification regression-suite qa pt-br,cinematic,premium,2026-02-23T04:59:32.955885Z,1.0000,ok
+8518,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: PT_BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8518-824387.",travel classification regression-suite qa pt-br,minimal,high-precision,2026-02-23T04:59:32.955885Z,1.0000,ok
+8519,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; Persona: platform engineer; Task: grounding-check; Format: qa; Language: PT_BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8519-932257.",travel classification regression-suite qa pt-br,stylized,benchmark-grade,2026-02-23T04:59:32.955885Z,1.0000,ok
+8520,"Theme: travel classification regression-suite qa pt-br; Domain: classification-qa; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT_BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8520-425301.",travel classification regression-suite qa pt-br,stylized,consistent,2026-02-23T04:59:32.955885Z,1.0000,ok
+8521,"Theme: travel classification regression-suite qa pt-br; Domain: classification-production; Persona: ml engineer; Task: grounding-check; Format: qa; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8521-114274.",travel classification regression-suite qa pt-br,detailed,benchmark-grade,2026-02-23T04:59:32.955885Z,1.0000,ok
+8522,"Theme: travel classification regression-suite qa pt-br; Domain: classification-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: 8522-347803.",travel classification regression-suite qa pt-br,production-ready,benchmark-grade,2026-02-23T04:59:32.955885Z,1.0000,ok
+8523,"Theme: travel classification regression-suite qa pt-br; Domain: classification-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: 8523-482829.",travel classification regression-suite qa pt-br,cinematic,commercial,2026-02-23T04:59:32.955885Z,1.0000,ok
+8524,"Theme: travel classification regression-suite qa pt-br; Domain: classification-production; Persona: ai researcher; Task: grounding-check; Format: qa; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8524-842041.",travel classification regression-suite qa pt-br,clean,consistent,2026-02-23T04:59:32.955885Z,1.0000,ok
+8525,"Theme: travel classification regression-suite qa pt-br; Domain: classification-production; Persona: data scientist; Task: grounding-check; Format: qa; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8525-106979.",travel classification regression-suite qa pt-br,detailed,consistent,2026-02-23T04:59:32.955885Z,1.0000,ok
+8526,"Theme: travel classification regression-suite qa pt-br; Domain: classification-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: 8526-549647.",travel classification regression-suite qa pt-br,minimal,high-precision,2026-02-23T04:59:32.955885Z,1.0000,ok
+8527,"Theme: travel classification regression-suite qa pt-br; Domain: classification-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: 8527-932552.",travel classification regression-suite qa pt-br,cinematic,consistent,2026-02-23T04:59:32.955885Z,1.0000,ok
+8528,"Theme: travel classification regression-suite qa pt-br; Domain: classification-qa; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8528-799010.",travel classification regression-suite qa pt-br,detailed,high-precision,2026-02-23T04:59:32.955885Z,1.0000,ok
+8529,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; 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: 8529-370558.",travel classification regression-suite qa pt-br,production-ready,high-precision,2026-02-23T04:59:32.955885Z,1.0000,ok
+8530,"Theme: travel classification regression-suite qa pt-br; Domain: classification-qa; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8530-945082.",travel classification regression-suite qa pt-br,clean,benchmark-grade,2026-02-23T04:59:32.955885Z,1.0000,ok
+8531,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; 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: 8531-707793.",travel classification regression-suite qa pt-br,cinematic,premium,2026-02-23T04:59:32.955885Z,1.0000,ok
+8532,"Theme: travel classification regression-suite qa pt-br; Domain: classification; 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: 8532-225065.",travel classification regression-suite qa pt-br,minimal,high-precision,2026-02-23T04:59:32.955885Z,1.0000,ok
+8533,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: platform engineer; Task: quality-check; Format: qa; Language: PT_BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8533-542498.",travel classification regression-suite qa pt-br,production-ready,premium,2026-02-23T04:59:32.955885Z,1.0000,ok
+8534,"Theme: travel classification regression-suite qa pt-br; Domain: classification-production; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8534-956488.",travel classification regression-suite qa pt-br,detailed,premium,2026-02-23T04:59:32.955885Z,1.0000,ok
+8535,"Theme: travel classification regression-suite qa pt-br; Domain: classification-qa; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8535-145491.",travel classification regression-suite qa pt-br,clean,commercial,2026-02-23T04:59:32.955885Z,1.0000,ok
+8536,"Theme: travel classification regression-suite qa pt-br; Domain: classification-production; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: PT_BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8536-522444.",travel classification regression-suite qa pt-br,cinematic,consistent,2026-02-23T04:59:32.955885Z,1.0000,ok
+8537,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: ml engineer; Task: grounding-check; Format: qa; Language: PT_BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8537-407410.",travel classification regression-suite qa pt-br,production-ready,benchmark-grade,2026-02-23T04:59:32.955885Z,1.0000,ok
+8538,"Theme: travel classification regression-suite qa pt-br; Domain: classification-qa; Persona: platform engineer; Task: robustness-check; Format: qa; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8538-592103.",travel classification regression-suite qa pt-br,cinematic,high-precision,2026-02-23T04:59:32.955885Z,1.0000,ok
+8539,"Theme: travel classification regression-suite qa pt-br; Domain: classification-qa; Persona: ai researcher; Task: benchmarking; Format: qa; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8539-114017.",travel classification regression-suite qa pt-br,production-ready,consistent,2026-02-23T04:59:32.955885Z,1.0000,ok
+8540,"Theme: travel classification regression-suite qa pt-br; Domain: classification-qa; Persona: platform engineer; Task: quality-check; Format: qa; Language: PT_BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8540-617788.",travel classification regression-suite qa pt-br,clean,consistent,2026-02-23T04:59:32.955885Z,1.0000,ok
+8541,"Theme: travel classification regression-suite qa pt-br; Domain: classification-production; Persona: data scientist; Task: quality-check; Format: long-context; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8541-455640.",travel classification regression-suite qa pt-br,clean,benchmark-grade,2026-02-23T04:59:32.955885Z,1.0000,ok
+8542,"Theme: travel classification regression-suite qa pt-br; Domain: classification-production; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8542-724421.",travel classification regression-suite qa pt-br,clean,premium,2026-02-23T04:59:32.955885Z,1.0000,ok
+8543,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8543-540821.",travel classification regression-suite qa pt-br,production-ready,benchmark-grade,2026-02-23T04:59:32.955885Z,1.0000,ok
+8544,"Theme: travel classification regression-suite qa pt-br; Domain: classification-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: 8544-445805.",travel classification regression-suite qa pt-br,minimal,benchmark-grade,2026-02-23T04:59:32.955885Z,1.0000,ok
+8545,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8545-374847.",travel classification regression-suite qa pt-br,cinematic,consistent,2026-02-23T04:59:32.955885Z,1.0000,ok
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+8547,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: ai researcher; Task: quality-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8547-430816.",travel classification regression-suite qa pt-br,stylized,commercial,2026-02-23T04:59:32.955885Z,1.0000,ok
+8548,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; Persona: data scientist; Task: benchmarking; Format: qa; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8548-344212.",travel classification regression-suite qa pt-br,stylized,consistent,2026-02-23T04:59:32.955885Z,1.0000,ok
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+8559,"Theme: travel classification regression-suite qa pt-br; Domain: classification-qa; Persona: platform engineer; Task: quality-check; Format: qa; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8559-188733.",travel classification regression-suite qa pt-br,cinematic,commercial,2026-02-23T04:59:32.955885Z,1.0000,ok
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+8573,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8573-839961.",travel classification regression-suite qa pt-br,cinematic,benchmark-grade,2026-02-23T04:59:32.955885Z,1.0000,ok
+8574,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; Persona: platform engineer; Task: grounding-check; Format: qa; Language: PT_BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8574-186956.",travel classification regression-suite qa pt-br,stylized,commercial,2026-02-23T04:59:32.955885Z,1.0000,ok
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+8576,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8576-109418.",travel classification regression-suite qa pt-br,production-ready,benchmark-grade,2026-02-23T04:59:32.955885Z,1.0000,ok
+8577,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8577-570826.",travel classification regression-suite qa pt-br,production-ready,consistent,2026-02-23T04:59:32.955885Z,1.0000,ok
+8578,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: data scientist; Task: benchmarking; Format: long-context; Language: PT_BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8578-338257.",travel classification regression-suite qa pt-br,cinematic,high-precision,2026-02-23T04:59:32.955885Z,1.0000,ok
+8579,"Theme: travel classification regression-suite qa pt-br; Domain: classification-qa; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8579-455771.",travel classification regression-suite qa pt-br,stylized,premium,2026-02-23T04:59:32.955885Z,1.0000,ok
+8580,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; Persona: platform engineer; Task: quality-check; Format: qa; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8580-992175.",travel classification regression-suite qa pt-br,minimal,benchmark-grade,2026-02-23T04:59:32.955885Z,1.0000,ok
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+8591,"Theme: travel classification regression-suite qa pt-br; Domain: classification-production; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8591-476465.",travel classification regression-suite qa pt-br,minimal,premium,2026-02-23T04:59:32.955885Z,1.0000,ok
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+8593,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT_BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8593-687980.",travel classification regression-suite qa pt-br,production-ready,benchmark-grade,2026-02-23T04:59:32.955885Z,1.0000,ok
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+8595,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; Persona: platform engineer; Task: grounding-check; Format: qa; Language: PT_BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8595-470443.",travel classification regression-suite qa pt-br,production-ready,premium,2026-02-23T04:59:32.955885Z,1.0000,ok
+8596,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; Persona: ml engineer; Task: grounding-check; Format: qa; Language: PT_BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8596-127238.",travel classification regression-suite qa pt-br,detailed,premium,2026-02-23T04:59:32.955885Z,1.0000,ok
+8597,"Theme: travel classification regression-suite qa pt-br; Domain: classification-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: 8597-876989.",travel classification regression-suite qa pt-br,minimal,high-precision,2026-02-23T04:59:32.955885Z,1.0000,ok
+8598,"Theme: travel classification regression-suite qa pt-br; Domain: classification-production; Persona: ai researcher; Task: grounding-check; Format: qa; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8598-949018.",travel classification regression-suite qa pt-br,production-ready,high-precision,2026-02-23T04:59:32.955885Z,1.0000,ok
+8599,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8599-991976.",travel classification regression-suite qa pt-br,stylized,benchmark-grade,2026-02-23T04:59:32.955885Z,1.0000,ok
+8600,"Theme: travel classification regression-suite qa pt-br; Domain: classification-production; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8600-822744.",travel classification regression-suite qa pt-br,cinematic,commercial,2026-02-23T04:59:32.955885Z,1.0000,ok
+8601,"Theme: travel classification regression-suite qa pt-br; Domain: classification-production; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8601-370085.",travel classification regression-suite qa pt-br,detailed,commercial,2026-02-23T04:59:32.955885Z,1.0000,ok
+8602,"Theme: travel classification regression-suite qa pt-br; Domain: classification-production; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8602-633557.",travel classification regression-suite qa pt-br,production-ready,benchmark-grade,2026-02-23T04:59:32.955885Z,1.0000,ok
+8603,"Theme: travel classification regression-suite qa pt-br; Domain: classification-qa; Persona: data scientist; Task: robustness-check; Format: qa; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8603-756692.",travel classification regression-suite qa pt-br,detailed,consistent,2026-02-23T04:59:32.955885Z,1.0000,ok
+8604,"Theme: travel classification regression-suite qa pt-br; Domain: classification-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: 8604-520959.",travel classification regression-suite qa pt-br,stylized,benchmark-grade,2026-02-23T04:59:32.955885Z,1.0000,ok
+8605,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; Persona: ai researcher; Task: quality-check; Format: qa; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8605-356513.",travel classification regression-suite qa pt-br,stylized,commercial,2026-02-23T04:59:32.955885Z,1.0000,ok
+8606,"Theme: travel classification regression-suite qa pt-br; Domain: classification; 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: 8606-909673.",travel classification regression-suite qa pt-br,cinematic,consistent,2026-02-23T04:59:32.955885Z,1.0000,ok
+8607,"Theme: travel classification regression-suite qa pt-br; Domain: classification-qa; Persona: ml engineer; Task: quality-check; Format: qa; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8607-957664.",travel classification regression-suite qa pt-br,stylized,commercial,2026-02-23T04:59:32.955885Z,1.0000,ok
+8608,"Theme: travel classification regression-suite qa pt-br; Domain: classification-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: 8608-907292.",travel classification regression-suite qa pt-br,stylized,commercial,2026-02-23T04:59:32.955885Z,1.0000,ok
+8609,"Theme: travel classification regression-suite qa pt-br; Domain: classification-qa; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: PT_BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8609-536380.",travel classification regression-suite qa pt-br,minimal,benchmark-grade,2026-02-23T04:59:32.955885Z,1.0000,ok
+8610,"Theme: travel classification regression-suite qa pt-br; Domain: classification-production; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8610-490694.",travel classification regression-suite qa pt-br,cinematic,premium,2026-02-23T04:59:32.955885Z,1.0000,ok
+8611,"Theme: travel classification regression-suite qa pt-br; Domain: classification-production; Persona: ai researcher; Task: grounding-check; Format: qa; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8611-644928.",travel classification regression-suite qa pt-br,cinematic,benchmark-grade,2026-02-23T04:59:32.955885Z,1.0000,ok
+8612,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: PT_BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8612-924048.",travel classification regression-suite qa pt-br,clean,benchmark-grade,2026-02-23T04:59:32.955885Z,1.0000,ok
+8613,"Theme: travel classification regression-suite qa pt-br; Domain: classification-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: 8613-510074.",travel classification regression-suite qa pt-br,stylized,consistent,2026-02-23T04:59:32.955885Z,1.0000,ok
+8614,"Theme: travel classification regression-suite qa pt-br; Domain: classification-production; Persona: ml engineer; Task: quality-check; Format: qa; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8614-440724.",travel classification regression-suite qa pt-br,stylized,high-precision,2026-02-23T04:59:32.955885Z,1.0000,ok
+8615,"Theme: travel classification regression-suite qa pt-br; Domain: classification-qa; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: PT_BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8615-860982.",travel classification regression-suite qa pt-br,cinematic,high-precision,2026-02-23T04:59:32.955885Z,1.0000,ok
+8616,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT_BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8616-608513.",travel classification regression-suite qa pt-br,cinematic,high-precision,2026-02-23T04:59:32.955885Z,1.0000,ok
+8617,"Theme: travel classification regression-suite qa pt-br; Domain: classification; 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: 8617-495653.",travel classification regression-suite qa pt-br,stylized,premium,2026-02-23T04:59:32.955885Z,1.0000,ok
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+8620,"Theme: travel classification regression-suite qa pt-br; Domain: classification-qa; Persona: ml engineer; Task: robustness-check; Format: qa; Language: PT_BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8620-113074.",travel classification regression-suite qa pt-br,minimal,consistent,2026-02-23T04:59:32.955885Z,1.0000,ok
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+8622,"Theme: travel classification regression-suite qa pt-br; Domain: classification-qa; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8622-528463.",travel classification regression-suite qa pt-br,detailed,premium,2026-02-23T04:59:32.955885Z,1.0000,ok
+8623,"Theme: travel classification regression-suite qa pt-br; Domain: classification-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: 8623-343603.",travel classification regression-suite qa pt-br,minimal,high-precision,2026-02-23T04:59:32.955885Z,1.0000,ok
+8624,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8624-860709.",travel classification regression-suite qa pt-br,minimal,consistent,2026-02-23T04:59:32.955885Z,1.0000,ok
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+8626,"Theme: travel classification regression-suite qa pt-br; Domain: classification-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: 8626-933435.",travel classification regression-suite qa pt-br,clean,high-precision,2026-02-23T04:59:32.955885Z,1.0000,ok
+8627,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: ml engineer; Task: quality-check; Format: long-context; Language: PT_BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8627-782283.",travel classification regression-suite qa pt-br,stylized,consistent,2026-02-23T04:59:32.955885Z,1.0000,ok
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+8631,"Theme: travel classification regression-suite qa pt-br; Domain: classification-qa; 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: 8631-733408.",travel classification regression-suite qa pt-br,production-ready,premium,2026-02-23T04:59:32.955885Z,1.0000,ok
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+8633,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8633-118045.",travel classification regression-suite qa pt-br,production-ready,consistent,2026-02-23T04:59:32.955885Z,1.0000,ok
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+8636,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8636-695909.",travel classification regression-suite qa pt-br,production-ready,premium,2026-02-23T04:59:32.955885Z,1.0000,ok
+8637,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: PT_BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8637-569985.",travel classification regression-suite qa pt-br,clean,benchmark-grade,2026-02-23T04:59:32.955885Z,1.0000,ok
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+8640,"Theme: travel classification regression-suite qa pt-br; Domain: classification; 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: 8640-519271.",travel classification regression-suite qa pt-br,detailed,commercial,2026-02-23T04:59:32.955885Z,1.0000,ok
+8641,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8641-211804.",travel classification regression-suite qa pt-br,stylized,premium,2026-02-23T04:59:32.955885Z,1.0000,ok
+8642,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8642-299898.",travel classification regression-suite qa pt-br,stylized,premium,2026-02-23T04:59:32.955885Z,1.0000,ok
+8643,"Theme: travel classification regression-suite qa pt-br; Domain: classification-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: 8643-987855.",travel classification regression-suite qa pt-br,production-ready,high-precision,2026-02-23T04:59:32.955885Z,1.0000,ok
+8644,"Theme: travel classification regression-suite qa pt-br; Domain: classification-production; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: PT_BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8644-850312.",travel classification regression-suite qa pt-br,detailed,benchmark-grade,2026-02-23T04:59:32.955885Z,1.0000,ok
+8645,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT_BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8645-424094.",travel classification regression-suite qa pt-br,detailed,consistent,2026-02-23T04:59:32.955885Z,1.0000,ok
+8646,"Theme: travel classification regression-suite qa pt-br; Domain: classification-production; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8646-823873.",travel classification regression-suite qa pt-br,detailed,commercial,2026-02-23T04:59:32.955885Z,1.0000,ok
+8647,"Theme: travel classification regression-suite qa pt-br; Domain: classification-qa; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: PT_BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8647-495293.",travel classification regression-suite qa pt-br,minimal,benchmark-grade,2026-02-23T04:59:32.955885Z,1.0000,ok
+8648,"Theme: travel classification regression-suite qa pt-br; Domain: classification-production; Persona: platform engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8648-252042.",travel classification regression-suite qa pt-br,cinematic,premium,2026-02-23T04:59:32.955885Z,1.0000,ok
+8649,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8649-219925.",travel classification regression-suite qa pt-br,cinematic,high-precision,2026-02-23T04:59:32.955885Z,1.0000,ok
+8650,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8650-983751.",travel classification regression-suite qa pt-br,cinematic,benchmark-grade,2026-02-23T04:59:32.955885Z,1.0000,ok
+8651,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; Persona: data scientist; Task: benchmarking; Format: long-context; Language: PT_BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8651-337118.",travel classification regression-suite qa pt-br,production-ready,premium,2026-02-23T04:59:32.955885Z,1.0000,ok
+8652,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; 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: 8652-365391.",travel classification regression-suite qa pt-br,detailed,benchmark-grade,2026-02-23T04:59:32.955885Z,1.0000,ok
+8653,"Theme: travel classification regression-suite qa pt-br; Domain: classification-qa; Persona: ai researcher; Task: quality-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8653-798122.",travel classification regression-suite qa pt-br,minimal,high-precision,2026-02-23T04:59:32.955885Z,1.0000,ok
+8654,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT_BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8654-832152.",travel classification regression-suite qa pt-br,clean,commercial,2026-02-23T04:59:32.955885Z,1.0000,ok
+8655,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8655-914159.",travel classification regression-suite qa pt-br,detailed,commercial,2026-02-23T04:59:32.955885Z,1.0000,ok
+8656,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8656-997865.",travel classification regression-suite qa pt-br,detailed,commercial,2026-02-23T04:59:32.955885Z,1.0000,ok
+8657,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8657-302936.",travel classification regression-suite qa pt-br,stylized,commercial,2026-02-23T04:59:32.955885Z,1.0000,ok
+8658,"Theme: travel classification regression-suite qa pt-br; Domain: classification-qa; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT_BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8658-409103.",travel classification regression-suite qa pt-br,clean,high-precision,2026-02-23T04:59:32.955885Z,1.0000,ok
+8659,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: data scientist; Task: benchmarking; Format: long-context; Language: PT_BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8659-560129.",travel classification regression-suite qa pt-br,cinematic,premium,2026-02-23T04:59:32.955885Z,1.0000,ok
+8660,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8660-997287.",travel classification regression-suite qa pt-br,production-ready,commercial,2026-02-23T04:59:32.955885Z,1.0000,ok
+8661,"Theme: travel classification regression-suite qa pt-br; Domain: classification-qa; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8661-386468.",travel classification regression-suite qa pt-br,detailed,premium,2026-02-23T04:59:32.955885Z,1.0000,ok
+8662,"Theme: travel classification regression-suite qa pt-br; Domain: classification-qa; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8662-875067.",travel classification regression-suite qa pt-br,detailed,benchmark-grade,2026-02-23T04:59:32.955885Z,1.0000,ok
+8663,"Theme: travel classification regression-suite qa pt-br; Domain: classification; 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: 8663-989515.",travel classification regression-suite qa pt-br,detailed,commercial,2026-02-23T04:59:32.955885Z,1.0000,ok
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+8665,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8665-394752.",travel classification regression-suite qa pt-br,stylized,consistent,2026-02-23T04:59:32.955885Z,1.0000,ok
+8666,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8666-174632.",travel classification regression-suite qa pt-br,cinematic,benchmark-grade,2026-02-23T04:59:32.955885Z,1.0000,ok
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+8669,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8669-248970.",travel classification regression-suite qa pt-br,cinematic,high-precision,2026-02-23T04:59:32.955885Z,1.0000,ok
+8670,"Theme: travel classification regression-suite qa pt-br; Domain: classification-production; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8670-462517.",travel classification regression-suite qa pt-br,production-ready,high-precision,2026-02-23T04:59:32.955885Z,1.0000,ok
+8671,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8671-507424.",travel classification regression-suite qa pt-br,production-ready,high-precision,2026-02-23T04:59:32.955885Z,1.0000,ok
+8672,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; 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: 8672-816090.",travel classification regression-suite qa pt-br,cinematic,high-precision,2026-02-23T04:59:32.955885Z,1.0000,ok
+8673,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8673-267941.",travel classification regression-suite qa pt-br,clean,consistent,2026-02-23T04:59:32.955885Z,1.0000,ok
+8674,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8674-804595.",travel classification regression-suite qa pt-br,detailed,premium,2026-02-23T04:59:32.955885Z,1.0000,ok
+8675,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8675-686802.",travel classification regression-suite qa pt-br,clean,benchmark-grade,2026-02-23T04:59:32.955885Z,1.0000,ok
+8676,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8676-886418.",travel classification regression-suite qa pt-br,minimal,high-precision,2026-02-23T04:59:32.955885Z,1.0000,ok
+8677,"Theme: travel classification regression-suite qa pt-br; Domain: classification; 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: 8677-804515.",travel classification regression-suite qa pt-br,cinematic,benchmark-grade,2026-02-23T04:59:32.955885Z,1.0000,ok
+8678,"Theme: travel classification regression-suite qa pt-br; Domain: classification-production; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8678-248204.",travel classification regression-suite qa pt-br,stylized,commercial,2026-02-23T04:59:32.955885Z,1.0000,ok
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+8692,"Theme: travel classification regression-suite qa pt-br; Domain: classification-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: 8692-107474.",travel classification regression-suite qa pt-br,detailed,commercial,2026-02-23T04:59:32.955885Z,1.0000,ok
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+8702,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8702-306866.",travel classification regression-suite qa pt-br,detailed,benchmark-grade,2026-02-23T04:59:32.955885Z,1.0000,ok
+8703,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: platform engineer; Task: quality-check; Format: qa; Language: PT_BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8703-898991.",travel classification regression-suite qa pt-br,cinematic,high-precision,2026-02-23T04:59:32.955885Z,1.0000,ok
+8704,"Theme: travel classification regression-suite qa pt-br; Domain: classification-production; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8704-615346.",travel classification regression-suite qa pt-br,cinematic,consistent,2026-02-23T04:59:32.955885Z,1.0000,ok
+8705,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; Persona: ai researcher; Task: quality-check; Format: long-context; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8705-146700.",travel classification regression-suite qa pt-br,stylized,consistent,2026-02-23T04:59:32.955885Z,1.0000,ok
+8706,"Theme: travel classification regression-suite qa pt-br; Domain: classification-qa; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8706-223979.",travel classification regression-suite qa pt-br,stylized,commercial,2026-02-23T04:59:32.955885Z,1.0000,ok
+8707,"Theme: travel classification regression-suite qa pt-br; Domain: classification-production; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8707-182024.",travel classification regression-suite qa pt-br,clean,benchmark-grade,2026-02-23T04:59:32.955885Z,1.0000,ok
+8708,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; Persona: ml engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8708-337887.",travel classification regression-suite qa pt-br,detailed,high-precision,2026-02-23T04:59:32.955885Z,1.0000,ok
+8709,"Theme: travel classification regression-suite qa pt-br; Domain: classification-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: 8709-789523.",travel classification regression-suite qa pt-br,cinematic,high-precision,2026-02-23T04:59:32.955885Z,1.0000,ok
+8710,"Theme: travel classification regression-suite qa pt-br; Domain: classification-production; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8710-552854.",travel classification regression-suite qa pt-br,minimal,consistent,2026-02-23T04:59:32.955885Z,1.0000,ok
+8711,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; 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: 8711-946752.",travel classification regression-suite qa pt-br,production-ready,high-precision,2026-02-23T04:59:32.955885Z,1.0000,ok
+8712,"Theme: travel classification regression-suite qa pt-br; Domain: classification-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: 8712-987728.",travel classification regression-suite qa pt-br,production-ready,commercial,2026-02-23T04:59:32.955885Z,1.0000,ok
+8713,"Theme: travel classification regression-suite qa pt-br; Domain: classification-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: 8713-650180.",travel classification regression-suite qa pt-br,detailed,premium,2026-02-23T04:59:32.955885Z,1.0000,ok
+8714,"Theme: travel classification regression-suite qa pt-br; Domain: classification-production; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8714-245702.",travel classification regression-suite qa pt-br,production-ready,high-precision,2026-02-23T04:59:32.955885Z,1.0000,ok
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+8716,"Theme: travel classification regression-suite qa pt-br; Domain: classification-production; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: PT_BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8716-539837.",travel classification regression-suite qa pt-br,clean,commercial,2026-02-23T04:59:32.955885Z,1.0000,ok
+8717,"Theme: travel classification regression-suite qa pt-br; Domain: classification-qa; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8717-513191.",travel classification regression-suite qa pt-br,minimal,benchmark-grade,2026-02-23T04:59:32.955885Z,1.0000,ok
+8718,"Theme: travel classification regression-suite qa pt-br; Domain: classification; 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: 8718-811069.",travel classification regression-suite qa pt-br,production-ready,premium,2026-02-23T04:59:32.955885Z,1.0000,ok
+8719,"Theme: travel classification regression-suite qa pt-br; Domain: classification-qa; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8719-395360.",travel classification regression-suite qa pt-br,detailed,consistent,2026-02-23T04:59:32.955885Z,1.0000,ok
+8720,"Theme: travel classification regression-suite qa pt-br; Domain: classification-production; Persona: data scientist; Task: grounding-check; Format: long-context; Language: PT_BR; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8720-145810.",travel classification regression-suite qa pt-br,production-ready,benchmark-grade,2026-02-23T04:59:32.955885Z,1.0000,ok
+8721,"Theme: travel classification regression-suite qa pt-br; Domain: classification-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: 8721-880521.",travel classification regression-suite qa pt-br,production-ready,commercial,2026-02-23T04:59:32.955885Z,1.0000,ok
+8722,"Theme: travel classification regression-suite qa pt-br; Domain: classification-qa; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: PT_BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8722-192830.",travel classification regression-suite qa pt-br,production-ready,benchmark-grade,2026-02-23T04:59:32.955885Z,1.0000,ok
+8723,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: PT_BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8723-385095.",travel classification regression-suite qa pt-br,stylized,commercial,2026-02-23T04:59:32.955885Z,1.0000,ok
+8724,"Theme: travel classification regression-suite qa pt-br; Domain: classification-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: 8724-921023.",travel classification regression-suite qa pt-br,clean,consistent,2026-02-23T04:59:32.955885Z,1.0000,ok
+8725,"Theme: travel classification regression-suite qa pt-br; Domain: classification-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: 8725-136901.",travel classification regression-suite qa pt-br,detailed,benchmark-grade,2026-02-23T04:59:32.955885Z,1.0000,ok
+8726,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8726-539929.",travel classification regression-suite qa pt-br,detailed,benchmark-grade,2026-02-23T04:59:32.955885Z,1.0000,ok
+8727,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8727-977839.",travel classification regression-suite qa pt-br,stylized,consistent,2026-02-23T04:59:32.955885Z,1.0000,ok
+8728,"Theme: travel classification regression-suite qa pt-br; Domain: classification; 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: 8728-729253.",travel classification regression-suite qa pt-br,stylized,consistent,2026-02-23T04:59:32.955885Z,1.0000,ok
+8729,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8729-597942.",travel classification regression-suite qa pt-br,detailed,premium,2026-02-23T04:59:32.955885Z,1.0000,ok
+8730,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8730-494023.",travel classification regression-suite qa pt-br,cinematic,premium,2026-02-23T04:59:32.955885Z,1.0000,ok
+8731,"Theme: travel classification regression-suite qa pt-br; Domain: classification-qa; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8731-528534.",travel classification regression-suite qa pt-br,detailed,consistent,2026-02-23T04:59:32.955885Z,1.0000,ok
+8732,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8732-995862.",travel classification regression-suite qa pt-br,detailed,consistent,2026-02-23T04:59:32.955885Z,1.0000,ok
+8733,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: PT_BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8733-716983.",travel classification regression-suite qa pt-br,minimal,benchmark-grade,2026-02-23T04:59:32.955885Z,1.0000,ok
+8734,"Theme: travel classification regression-suite qa pt-br; Domain: classification-production; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8734-983535.",travel classification regression-suite qa pt-br,clean,commercial,2026-02-23T04:59:32.955885Z,1.0000,ok
+8735,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8735-598668.",travel classification regression-suite qa pt-br,stylized,premium,2026-02-23T04:59:32.955885Z,1.0000,ok
+8736,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8736-586546.",travel classification regression-suite qa pt-br,production-ready,premium,2026-02-23T04:59:32.955885Z,1.0000,ok
+8737,"Theme: travel classification regression-suite qa pt-br; Domain: classification-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: 8737-769133.",travel classification regression-suite qa pt-br,clean,premium,2026-02-23T04:59:32.955885Z,1.0000,ok
+8738,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: PT_BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8738-676222.",travel classification regression-suite qa pt-br,minimal,consistent,2026-02-23T04:59:32.955885Z,1.0000,ok
+8739,"Theme: travel classification regression-suite qa pt-br; Domain: classification-production; Persona: data scientist; Task: benchmarking; Format: qa; Language: PT-BR; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8739-300687.",travel classification regression-suite qa pt-br,production-ready,premium,2026-02-23T04:59:32.955885Z,1.0000,ok
+8740,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: platform engineer; Task: quality-check; Format: qa; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8740-356241.",travel classification regression-suite qa pt-br,production-ready,benchmark-grade,2026-02-23T04:59:32.955885Z,1.0000,ok
+8741,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: data scientist; Task: benchmarking; Format: qa; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8741-289683.",travel classification regression-suite qa pt-br,detailed,consistent,2026-02-23T04:59:32.955885Z,1.0000,ok
+8742,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: ai researcher; Task: robustness-check; Format: qa; Language: PT_BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8742-419895.",travel classification regression-suite qa pt-br,stylized,consistent,2026-02-23T04:59:32.955885Z,1.0000,ok
+8743,"Theme: travel classification regression-suite qa pt-br; Domain: classification-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: 8743-787051.",travel classification regression-suite qa pt-br,stylized,benchmark-grade,2026-02-23T04:59:32.955885Z,1.0000,ok
+8744,"Theme: travel classification regression-suite qa pt-br; Domain: classification-qa; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8744-977961.",travel classification regression-suite qa pt-br,detailed,high-precision,2026-02-23T04:59:32.955885Z,1.0000,ok
+8745,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT_BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8745-751504.",travel classification regression-suite qa pt-br,production-ready,benchmark-grade,2026-02-23T04:59:32.955885Z,1.0000,ok
+8746,"Theme: travel classification regression-suite qa pt-br; Domain: classification-production; Persona: ai researcher; Task: grounding-check; Format: qa; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8746-765082.",travel classification regression-suite qa pt-br,production-ready,premium,2026-02-23T04:59:32.955885Z,1.0000,ok
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+8748,"Theme: travel classification regression-suite qa pt-br; Domain: classification-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: 8748-510108.",travel classification regression-suite qa pt-br,minimal,consistent,2026-02-23T04:59:32.955885Z,1.0000,ok
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+8751,"Theme: travel classification regression-suite qa pt-br; Domain: classification; 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: 8751-397868.",travel classification regression-suite qa pt-br,minimal,consistent,2026-02-23T04:59:32.955885Z,1.0000,ok
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+8755,"Theme: travel classification regression-suite qa pt-br; Domain: classification; 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: 8755-988768.",travel classification regression-suite qa pt-br,clean,premium,2026-02-23T04:59:32.955885Z,1.0000,ok
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+8758,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; 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: 8758-360385.",travel classification regression-suite qa pt-br,cinematic,premium,2026-02-23T04:59:32.955885Z,1.0000,ok
+8759,"Theme: travel classification regression-suite qa pt-br; Domain: classification-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: 8759-373114.",travel classification regression-suite qa pt-br,clean,benchmark-grade,2026-02-23T04:59:32.955885Z,1.0000,ok
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+8769,"Theme: travel classification regression-suite qa pt-br; Domain: classification; 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: 8769-508946.",travel classification regression-suite qa pt-br,minimal,benchmark-grade,2026-02-23T04:59:32.955885Z,1.0000,ok
+8770,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; 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: 8770-420150.",travel classification regression-suite qa pt-br,cinematic,benchmark-grade,2026-02-23T04:59:32.955885Z,1.0000,ok
+8771,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8771-390267.",travel classification regression-suite qa pt-br,cinematic,benchmark-grade,2026-02-23T04:59:32.955885Z,1.0000,ok
+8772,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; 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: 8772-656611.",travel classification regression-suite qa pt-br,cinematic,commercial,2026-02-23T04:59:32.955885Z,1.0000,ok
+8773,"Theme: travel classification regression-suite qa pt-br; Domain: classification-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: 8773-374445.",travel classification regression-suite qa pt-br,cinematic,high-precision,2026-02-23T04:59:32.955885Z,1.0000,ok
+8774,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; 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: 8774-725263.",travel classification regression-suite qa pt-br,minimal,benchmark-grade,2026-02-23T04:59:32.955885Z,1.0000,ok
+8775,"Theme: travel classification regression-suite qa pt-br; Domain: classification-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: 8775-217047.",travel classification regression-suite qa pt-br,clean,premium,2026-02-23T04:59:32.955885Z,1.0000,ok
+8776,"Theme: travel classification regression-suite qa pt-br; Domain: classification-qa; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8776-610859.",travel classification regression-suite qa pt-br,cinematic,commercial,2026-02-23T04:59:32.955885Z,1.0000,ok
+8777,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8777-218403.",travel classification regression-suite qa pt-br,minimal,premium,2026-02-23T04:59:32.955885Z,1.0000,ok
+8778,"Theme: travel classification regression-suite qa pt-br; Domain: classification-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: 8778-590385.",travel classification regression-suite qa pt-br,cinematic,consistent,2026-02-23T04:59:32.955885Z,1.0000,ok
+8779,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; Persona: data scientist; Task: benchmarking; Format: qa; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8779-257856.",travel classification regression-suite qa pt-br,detailed,commercial,2026-02-23T04:59:32.955885Z,1.0000,ok
+8780,"Theme: travel classification regression-suite qa pt-br; Domain: classification-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: 8780-116902.",travel classification regression-suite qa pt-br,stylized,commercial,2026-02-23T04:59:32.955885Z,1.0000,ok
+8781,"Theme: travel classification regression-suite qa pt-br; Domain: classification-qa; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8781-977804.",travel classification regression-suite qa pt-br,minimal,high-precision,2026-02-23T04:59:32.955885Z,1.0000,ok
+8782,"Theme: travel classification regression-suite qa pt-br; Domain: classification-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: 8782-712396.",travel classification regression-suite qa pt-br,production-ready,premium,2026-02-23T04:59:32.955885Z,1.0000,ok
+8783,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8783-736369.",travel classification regression-suite qa pt-br,minimal,commercial,2026-02-23T04:59:32.955885Z,1.0000,ok
+8784,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8784-162452.",travel classification regression-suite qa pt-br,cinematic,benchmark-grade,2026-02-23T04:59:32.955885Z,1.0000,ok
+8785,"Theme: travel classification regression-suite qa pt-br; Domain: classification-qa; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8785-433372.",travel classification regression-suite qa pt-br,cinematic,benchmark-grade,2026-02-23T04:59:32.955885Z,1.0000,ok
+8786,"Theme: travel classification regression-suite qa pt-br; Domain: classification-production; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8786-817879.",travel classification regression-suite qa pt-br,minimal,commercial,2026-02-23T04:59:32.955885Z,1.0000,ok
+8787,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; Persona: ai researcher; Task: grounding-check; Format: qa; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8787-185494.",travel classification regression-suite qa pt-br,production-ready,consistent,2026-02-23T04:59:32.955885Z,1.0000,ok
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+8789,"Theme: travel classification regression-suite qa pt-br; Domain: classification-qa; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8789-466646.",travel classification regression-suite qa pt-br,cinematic,benchmark-grade,2026-02-23T04:59:32.955885Z,1.0000,ok
+8790,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8790-418572.",travel classification regression-suite qa pt-br,cinematic,high-precision,2026-02-23T04:59:32.955885Z,1.0000,ok
+8791,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8791-350208.",travel classification regression-suite qa pt-br,minimal,consistent,2026-02-23T04:59:32.955885Z,1.0000,ok
+8792,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: PT_BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8792-930991.",travel classification regression-suite qa pt-br,detailed,premium,2026-02-23T04:59:32.955885Z,1.0000,ok
+8793,"Theme: travel classification regression-suite qa pt-br; Domain: classification-qa; Persona: ml engineer; Task: benchmarking; Format: qa; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8793-202159.",travel classification regression-suite qa pt-br,cinematic,commercial,2026-02-23T04:59:32.955885Z,1.0000,ok
+8794,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT_BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8794-670122.",travel classification regression-suite qa pt-br,stylized,commercial,2026-02-23T04:59:32.955885Z,1.0000,ok
+8795,"Theme: travel classification regression-suite qa pt-br; Domain: classification-production; Persona: ml engineer; Task: robustness-check; Format: qa; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8795-496397.",travel classification regression-suite qa pt-br,stylized,premium,2026-02-23T04:59:32.955885Z,1.0000,ok
+8796,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; Persona: ml engineer; Task: benchmarking; Format: qa; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8796-318567.",travel classification regression-suite qa pt-br,minimal,consistent,2026-02-23T04:59:32.955885Z,1.0000,ok
+8797,"Theme: travel classification regression-suite qa pt-br; Domain: classification-production; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: PT_BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8797-136017.",travel classification regression-suite qa pt-br,clean,commercial,2026-02-23T04:59:32.955885Z,1.0000,ok
+8798,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT_BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8798-621940.",travel classification regression-suite qa pt-br,minimal,commercial,2026-02-23T04:59:32.955885Z,1.0000,ok
+8799,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8799-909982.",travel classification regression-suite qa pt-br,production-ready,high-precision,2026-02-23T04:59:32.955885Z,1.0000,ok
+8800,"Theme: travel classification regression-suite qa pt-br; Domain: classification-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: 8800-683665.",travel classification regression-suite qa pt-br,clean,consistent,2026-02-23T04:59:32.955885Z,1.0000,ok
+8801,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8801-167640.",travel classification regression-suite qa pt-br,minimal,commercial,2026-02-23T04:59:32.955885Z,1.0000,ok
+8802,"Theme: travel classification regression-suite qa pt-br; Domain: classification-production; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8802-868427.",travel classification regression-suite qa pt-br,stylized,high-precision,2026-02-23T04:59:32.955885Z,1.0000,ok
+8803,"Theme: travel classification regression-suite qa pt-br; Domain: classification-production; Persona: ai researcher; Task: quality-check; Format: qa; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8803-638856.",travel classification regression-suite qa pt-br,minimal,benchmark-grade,2026-02-23T04:59:32.955885Z,1.0000,ok
+8804,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; 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: 8804-270910.",travel classification regression-suite qa pt-br,clean,high-precision,2026-02-23T04:59:32.955885Z,1.0000,ok
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+8806,"Theme: travel classification regression-suite qa pt-br; Domain: classification-qa; 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: 8806-898653.",travel classification regression-suite qa pt-br,production-ready,benchmark-grade,2026-02-23T04:59:32.955885Z,1.0000,ok
+8807,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8807-448276.",travel classification regression-suite qa pt-br,stylized,commercial,2026-02-23T04:59:32.955885Z,1.0000,ok
+8808,"Theme: travel classification regression-suite qa pt-br; Domain: classification-qa; Persona: data scientist; Task: benchmarking; Format: qa; Language: PT_BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8808-566056.",travel classification regression-suite qa pt-br,production-ready,benchmark-grade,2026-02-23T04:59:32.955885Z,1.0000,ok
+8809,"Theme: travel classification regression-suite qa pt-br; Domain: classification-qa; Persona: ai researcher; Task: robustness-check; Format: qa; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8809-515143.",travel classification regression-suite qa pt-br,minimal,consistent,2026-02-23T04:59:32.955885Z,1.0000,ok
+8810,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8810-463326.",travel classification regression-suite qa pt-br,production-ready,benchmark-grade,2026-02-23T04:59:32.955885Z,1.0000,ok
+8811,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8811-666995.",travel classification regression-suite qa pt-br,minimal,high-precision,2026-02-23T04:59:32.955885Z,1.0000,ok
+8812,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: ai researcher; Task: benchmarking; Format: qa; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8812-943674.",travel classification regression-suite qa pt-br,clean,benchmark-grade,2026-02-23T04:59:32.955885Z,1.0000,ok
+8813,"Theme: travel classification regression-suite qa pt-br; Domain: classification-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: 8813-654412.",travel classification regression-suite qa pt-br,minimal,high-precision,2026-02-23T04:59:32.955885Z,1.0000,ok
+8814,"Theme: travel classification regression-suite qa pt-br; Domain: classification-production; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8814-211428.",travel classification regression-suite qa pt-br,cinematic,commercial,2026-02-23T04:59:32.955885Z,1.0000,ok
+8815,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; Persona: ml engineer; Task: grounding-check; Format: qa; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8815-227606.",travel classification regression-suite qa pt-br,detailed,benchmark-grade,2026-02-23T04:59:32.955885Z,1.0000,ok
+8816,"Theme: travel classification regression-suite qa pt-br; Domain: classification-production; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8816-867390.",travel classification regression-suite qa pt-br,stylized,commercial,2026-02-23T04:59:32.955885Z,1.0000,ok
+8817,"Theme: travel classification regression-suite qa pt-br; Domain: classification-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: 8817-893347.",travel classification regression-suite qa pt-br,clean,consistent,2026-02-23T04:59:32.955885Z,1.0000,ok
+8818,"Theme: travel classification regression-suite qa pt-br; Domain: classification-production; 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: 8818-897684.",travel classification regression-suite qa pt-br,production-ready,benchmark-grade,2026-02-23T04:59:32.955885Z,1.0000,ok
+8819,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8819-119867.",travel classification regression-suite qa pt-br,stylized,high-precision,2026-02-23T04:59:32.955885Z,1.0000,ok
+8820,"Theme: travel classification regression-suite qa pt-br; Domain: classification-production; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8820-694853.",travel classification regression-suite qa pt-br,stylized,commercial,2026-02-23T04:59:32.955885Z,1.0000,ok
+8821,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: ml engineer; Task: grounding-check; Format: qa; Language: PT_BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8821-706764.",travel classification regression-suite qa pt-br,cinematic,benchmark-grade,2026-02-23T04:59:32.955885Z,1.0000,ok
+8822,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; 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: 8822-327289.",travel classification regression-suite qa pt-br,clean,benchmark-grade,2026-02-23T04:59:32.955885Z,1.0000,ok
+8823,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8823-525070.",travel classification regression-suite qa pt-br,production-ready,high-precision,2026-02-23T04:59:32.955885Z,1.0000,ok
+8824,"Theme: travel classification regression-suite qa pt-br; Domain: classification-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: 8824-294555.",travel classification regression-suite qa pt-br,clean,high-precision,2026-02-23T04:59:32.955885Z,1.0000,ok
+8825,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; Persona: platform engineer; Task: benchmarking; Format: qa; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8825-406993.",travel classification regression-suite qa pt-br,cinematic,consistent,2026-02-23T04:59:32.955885Z,1.0000,ok
+8826,"Theme: travel classification regression-suite qa pt-br; Domain: classification-production; Persona: ai researcher; Task: benchmarking; Format: qa; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8826-460731.",travel classification regression-suite qa pt-br,production-ready,high-precision,2026-02-23T04:59:32.955885Z,1.0000,ok
+8827,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8827-745729.",travel classification regression-suite qa pt-br,cinematic,high-precision,2026-02-23T04:59:32.955885Z,1.0000,ok
+8828,"Theme: travel classification regression-suite qa pt-br; Domain: classification-production; Persona: platform engineer; Task: quality-check; Format: qa; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8828-298834.",travel classification regression-suite qa pt-br,production-ready,high-precision,2026-02-23T04:59:32.955885Z,1.0000,ok
+8829,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: PT_BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8829-929776.",travel classification regression-suite qa pt-br,clean,consistent,2026-02-23T04:59:32.955885Z,1.0000,ok
+8830,"Theme: travel classification regression-suite qa pt-br; Domain: classification; 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: 8830-452208.",travel classification regression-suite qa pt-br,detailed,benchmark-grade,2026-02-23T04:59:32.955885Z,1.0000,ok
+8831,"Theme: travel classification regression-suite qa pt-br; Domain: classification-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: 8831-814778.",travel classification regression-suite qa pt-br,stylized,consistent,2026-02-23T04:59:32.955885Z,1.0000,ok
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+8835,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: platform engineer; Task: grounding-check; Format: qa; Language: PT_BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8835-469613.",travel classification regression-suite qa pt-br,production-ready,high-precision,2026-02-23T04:59:32.955885Z,1.0000,ok
+8836,"Theme: travel classification regression-suite qa pt-br; Domain: classification-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: 8836-982584.",travel classification regression-suite qa pt-br,detailed,high-precision,2026-02-23T04:59:32.955885Z,1.0000,ok
+8837,"Theme: travel classification regression-suite qa pt-br; Domain: classification-production; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8837-480368.",travel classification regression-suite qa pt-br,clean,benchmark-grade,2026-02-23T04:59:32.955885Z,1.0000,ok
+8838,"Theme: travel classification regression-suite qa pt-br; Domain: classification; 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: 8838-380417.",travel classification regression-suite qa pt-br,detailed,high-precision,2026-02-23T04:59:32.955885Z,1.0000,ok
+8839,"Theme: travel classification regression-suite qa pt-br; Domain: classification-qa; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8839-517447.",travel classification regression-suite qa pt-br,detailed,benchmark-grade,2026-02-23T04:59:32.955885Z,1.0000,ok
+8840,"Theme: travel classification regression-suite qa pt-br; Domain: classification-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: 8840-727208.",travel classification regression-suite qa pt-br,production-ready,high-precision,2026-02-23T04:59:32.955885Z,1.0000,ok
+8841,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: PT_BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8841-839830.",travel classification regression-suite qa pt-br,stylized,benchmark-grade,2026-02-23T04:59:32.955885Z,1.0000,ok
+8842,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; Persona: data scientist; Task: benchmarking; Format: long-context; Language: PT_BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8842-511882.",travel classification regression-suite qa pt-br,production-ready,consistent,2026-02-23T04:59:32.955885Z,1.0000,ok
+8843,"Theme: travel classification regression-suite qa pt-br; Domain: classification-production; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT_BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8843-400068.",travel classification regression-suite qa pt-br,stylized,commercial,2026-02-23T04:59:32.955885Z,1.0000,ok
+8844,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; Persona: data scientist; Task: quality-check; Format: qa; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8844-170808.",travel classification regression-suite qa pt-br,production-ready,commercial,2026-02-23T04:59:32.955885Z,1.0000,ok
+8845,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8845-451946.",travel classification regression-suite qa pt-br,cinematic,benchmark-grade,2026-02-23T04:59:32.955885Z,1.0000,ok
+8846,"Theme: travel classification regression-suite qa pt-br; Domain: classification-production; Persona: data scientist; Task: benchmarking; Format: qa; Language: PT_BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8846-909283.",travel classification regression-suite qa pt-br,minimal,high-precision,2026-02-23T04:59:32.955885Z,1.0000,ok
+8847,"Theme: travel classification regression-suite qa pt-br; Domain: classification-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: 8847-636988.",travel classification regression-suite qa pt-br,cinematic,consistent,2026-02-23T04:59:32.955885Z,1.0000,ok
+8848,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; Persona: ml engineer; Task: robustness-check; Format: qa; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8848-643917.",travel classification regression-suite qa pt-br,production-ready,consistent,2026-02-23T04:59:32.955885Z,1.0000,ok
+8849,"Theme: travel classification regression-suite qa pt-br; Domain: classification-qa; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8849-715429.",travel classification regression-suite qa pt-br,stylized,consistent,2026-02-23T04:59:32.955885Z,1.0000,ok
+8850,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: ai researcher; Task: benchmarking; Format: qa; Language: PT_BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8850-914389.",travel classification regression-suite qa pt-br,detailed,consistent,2026-02-23T04:59:32.955885Z,1.0000,ok
+8851,"Theme: travel classification regression-suite qa pt-br; Domain: classification-production; 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: 8851-710207.",travel classification regression-suite qa pt-br,stylized,commercial,2026-02-23T04:59:32.955885Z,1.0000,ok
+8852,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: data scientist; Task: quality-check; Format: qa; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8852-760630.",travel classification regression-suite qa pt-br,cinematic,high-precision,2026-02-23T04:59:32.955885Z,1.0000,ok
+8853,"Theme: travel classification regression-suite qa pt-br; Domain: classification-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: 8853-634276.",travel classification regression-suite qa pt-br,minimal,high-precision,2026-02-23T04:59:32.955885Z,1.0000,ok
+8854,"Theme: travel classification regression-suite qa pt-br; Domain: classification-qa; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8854-762698.",travel classification regression-suite qa pt-br,detailed,premium,2026-02-23T04:59:32.955885Z,1.0000,ok
+8855,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: platform engineer; Task: grounding-check; Format: qa; Language: PT_BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8855-852022.",travel classification regression-suite qa pt-br,cinematic,high-precision,2026-02-23T04:59:32.955885Z,1.0000,ok
+8856,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8856-385322.",travel classification regression-suite qa pt-br,clean,commercial,2026-02-23T04:59:32.955885Z,1.0000,ok
+8857,"Theme: travel classification regression-suite qa pt-br; Domain: classification-qa; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8857-504195.",travel classification regression-suite qa pt-br,clean,benchmark-grade,2026-02-23T04:59:32.955885Z,1.0000,ok
+8858,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8858-680705.",travel classification regression-suite qa pt-br,production-ready,premium,2026-02-23T04:59:32.955885Z,1.0000,ok
+8859,"Theme: travel classification regression-suite qa pt-br; Domain: classification-production; Persona: platform engineer; Task: robustness-check; Format: qa; Language: PT_BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8859-346064.",travel classification regression-suite qa pt-br,minimal,premium,2026-02-23T04:59:32.955885Z,1.0000,ok
+8860,"Theme: travel classification regression-suite qa pt-br; Domain: classification; 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: 8860-265481.",travel classification regression-suite qa pt-br,production-ready,consistent,2026-02-23T04:59:32.955885Z,1.0000,ok
+8861,"Theme: travel classification regression-suite qa pt-br; Domain: classification-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: 8861-127735.",travel classification regression-suite qa pt-br,stylized,premium,2026-02-23T04:59:32.955885Z,1.0000,ok
+8862,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8862-854124.",travel classification regression-suite qa pt-br,detailed,consistent,2026-02-23T04:59:32.955885Z,1.0000,ok
+8863,"Theme: travel classification regression-suite qa pt-br; Domain: classification-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: 8863-393695.",travel classification regression-suite qa pt-br,cinematic,commercial,2026-02-23T04:59:32.955885Z,1.0000,ok
+8864,"Theme: travel classification regression-suite qa pt-br; Domain: classification-qa; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8864-862462.",travel classification regression-suite qa pt-br,clean,consistent,2026-02-23T04:59:32.955885Z,1.0000,ok
+8865,"Theme: travel classification regression-suite qa pt-br; Domain: classification-qa; Persona: data scientist; Task: grounding-check; Format: long-context; Language: PT_BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8865-320949.",travel classification regression-suite qa pt-br,cinematic,premium,2026-02-23T04:59:32.955885Z,1.0000,ok
+8866,"Theme: travel classification regression-suite qa pt-br; Domain: classification-qa; Persona: ai researcher; Task: benchmarking; Format: qa; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8866-622508.",travel classification regression-suite qa pt-br,stylized,consistent,2026-02-23T04:59:32.955885Z,1.0000,ok
+8867,"Theme: travel classification regression-suite qa pt-br; Domain: classification-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: 8867-353217.",travel classification regression-suite qa pt-br,detailed,consistent,2026-02-23T04:59:32.955885Z,1.0000,ok
+8868,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: PT_BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8868-765045.",travel classification regression-suite qa pt-br,clean,premium,2026-02-23T04:59:32.955885Z,1.0000,ok
+8869,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT_BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8869-767041.",travel classification regression-suite qa pt-br,detailed,premium,2026-02-23T04:59:32.955885Z,1.0000,ok
+8870,"Theme: travel classification regression-suite qa pt-br; Domain: classification-production; 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: 8870-208962.",travel classification regression-suite qa pt-br,production-ready,commercial,2026-02-23T04:59:32.955885Z,1.0000,ok
+8871,"Theme: travel classification regression-suite qa pt-br; Domain: classification-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: 8871-433193.",travel classification regression-suite qa pt-br,stylized,premium,2026-02-23T04:59:32.955885Z,1.0000,ok
+8872,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT_BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8872-406272.",travel classification regression-suite qa pt-br,stylized,premium,2026-02-23T04:59:32.955885Z,1.0000,ok
+8873,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8873-203328.",travel classification regression-suite qa pt-br,stylized,premium,2026-02-23T04:59:32.955885Z,1.0000,ok
+8874,"Theme: travel classification regression-suite qa pt-br; Domain: classification-qa; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8874-980064.",travel classification regression-suite qa pt-br,cinematic,commercial,2026-02-23T04:59:32.955885Z,1.0000,ok
+8875,"Theme: travel classification regression-suite qa pt-br; Domain: classification-production; Persona: ai researcher; Task: quality-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8875-410614.",travel classification regression-suite qa pt-br,detailed,premium,2026-02-23T04:59:32.955885Z,1.0000,ok
+8876,"Theme: travel classification regression-suite qa pt-br; Domain: classification-qa; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: PT_BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8876-415461.",travel classification regression-suite qa pt-br,stylized,benchmark-grade,2026-02-23T04:59:32.955885Z,1.0000,ok
+8877,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; Persona: platform engineer; Task: robustness-check; Format: qa; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8877-568797.",travel classification regression-suite qa pt-br,cinematic,consistent,2026-02-23T04:59:32.955885Z,1.0000,ok
+8878,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; 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: 8878-556059.",travel classification regression-suite qa pt-br,minimal,consistent,2026-02-23T04:59:32.955885Z,1.0000,ok
+8879,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8879-607964.",travel classification regression-suite qa pt-br,cinematic,high-precision,2026-02-23T04:59:32.955885Z,1.0000,ok
+8880,"Theme: travel classification regression-suite qa pt-br; Domain: classification-qa; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8880-650144.",travel classification regression-suite qa pt-br,cinematic,benchmark-grade,2026-02-23T04:59:32.955885Z,1.0000,ok
+8881,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: PT_BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8881-126467.",travel classification regression-suite qa pt-br,production-ready,commercial,2026-02-23T04:59:32.955885Z,1.0000,ok
+8882,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8882-802542.",travel classification regression-suite qa pt-br,clean,commercial,2026-02-23T04:59:32.955885Z,1.0000,ok
+8883,"Theme: travel classification regression-suite qa pt-br; Domain: classification-production; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8883-595426.",travel classification regression-suite qa pt-br,clean,premium,2026-02-23T04:59:32.955885Z,1.0000,ok
+8884,"Theme: travel classification regression-suite qa pt-br; Domain: classification-qa; Persona: ml engineer; Task: quality-check; Format: qa; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8884-286592.",travel classification regression-suite qa pt-br,clean,benchmark-grade,2026-02-23T04:59:32.955885Z,1.0000,ok
+8885,"Theme: travel classification regression-suite qa pt-br; Domain: classification-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: 8885-283390.",travel classification regression-suite qa pt-br,clean,consistent,2026-02-23T04:59:32.955885Z,1.0000,ok
+8886,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: PT_BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8886-817586.",travel classification regression-suite qa pt-br,stylized,high-precision,2026-02-23T04:59:32.955885Z,1.0000,ok
+8887,"Theme: travel classification regression-suite qa pt-br; Domain: classification-qa; Persona: data scientist; Task: benchmarking; Format: long-context; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8887-631788.",travel classification regression-suite qa pt-br,detailed,consistent,2026-02-23T04:59:32.955885Z,1.0000,ok
+8888,"Theme: travel classification regression-suite qa pt-br; Domain: classification-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: 8888-768941.",travel classification regression-suite qa pt-br,cinematic,premium,2026-02-23T04:59:32.955885Z,1.0000,ok
+8889,"Theme: travel classification regression-suite qa pt-br; Domain: classification-qa; Persona: platform engineer; Task: quality-check; Format: qa; Language: PT_BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8889-135470.",travel classification regression-suite qa pt-br,detailed,benchmark-grade,2026-02-23T04:59:32.955885Z,1.0000,ok
+8890,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: data scientist; Task: quality-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8890-960109.",travel classification regression-suite qa pt-br,cinematic,premium,2026-02-23T04:59:32.955885Z,1.0000,ok
+8891,"Theme: travel classification regression-suite qa pt-br; Domain: classification; 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: 8891-781072.",travel classification regression-suite qa pt-br,minimal,commercial,2026-02-23T04:59:32.955885Z,1.0000,ok
+8892,"Theme: travel classification regression-suite qa pt-br; Domain: classification-production; Persona: ai researcher; Task: quality-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8892-773290.",travel classification regression-suite qa pt-br,production-ready,commercial,2026-02-23T04:59:32.955885Z,1.0000,ok
+8893,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; 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: 8893-496377.",travel classification regression-suite qa pt-br,cinematic,benchmark-grade,2026-02-23T04:59:32.955885Z,1.0000,ok
+8894,"Theme: travel classification regression-suite qa pt-br; Domain: classification-production; Persona: platform engineer; Task: grounding-check; Format: qa; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8894-725488.",travel classification regression-suite qa pt-br,minimal,high-precision,2026-02-23T04:59:32.955885Z,1.0000,ok
+8895,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; Persona: data scientist; Task: grounding-check; Format: qa; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8895-529720.",travel classification regression-suite qa pt-br,cinematic,benchmark-grade,2026-02-23T04:59:32.955885Z,1.0000,ok
+8896,"Theme: travel classification regression-suite qa pt-br; Domain: classification-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: 8896-787603.",travel classification regression-suite qa pt-br,stylized,premium,2026-02-23T04:59:32.955885Z,1.0000,ok
+8897,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8897-727311.",travel classification regression-suite qa pt-br,detailed,high-precision,2026-02-23T04:59:32.955885Z,1.0000,ok
+8898,"Theme: travel classification regression-suite qa pt-br; Domain: classification-production; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8898-449261.",travel classification regression-suite qa pt-br,cinematic,benchmark-grade,2026-02-23T04:59:32.955885Z,1.0000,ok
+8899,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; Persona: data scientist; Task: grounding-check; Format: qa; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8899-850367.",travel classification regression-suite qa pt-br,detailed,benchmark-grade,2026-02-23T04:59:32.955885Z,1.0000,ok
+8900,"Theme: travel classification regression-suite qa pt-br; Domain: classification-production; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8900-661453.",travel classification regression-suite qa pt-br,cinematic,premium,2026-02-23T04:59:32.955885Z,1.0000,ok
+8901,"Theme: travel classification regression-suite qa pt-br; Domain: classification-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: 8901-473522.",travel classification regression-suite qa pt-br,minimal,premium,2026-02-23T04:59:32.955885Z,1.0000,ok
+8902,"Theme: travel classification regression-suite qa pt-br; Domain: classification-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: 8902-100340.",travel classification regression-suite qa pt-br,clean,high-precision,2026-02-23T04:59:32.955885Z,1.0000,ok
+8903,"Theme: travel classification regression-suite qa pt-br; Domain: classification-production; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8903-158712.",travel classification regression-suite qa pt-br,clean,premium,2026-02-23T04:59:32.955885Z,1.0000,ok
+8904,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8904-895409.",travel classification regression-suite qa pt-br,stylized,benchmark-grade,2026-02-23T04:59:32.955885Z,1.0000,ok
+8905,"Theme: travel classification regression-suite qa pt-br; Domain: classification; 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: 8905-255883.",travel classification regression-suite qa pt-br,minimal,consistent,2026-02-23T04:59:32.955885Z,1.0000,ok
+8906,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; 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: 8906-980575.",travel classification regression-suite qa pt-br,detailed,commercial,2026-02-23T04:59:32.955885Z,1.0000,ok
+8907,"Theme: travel classification regression-suite qa pt-br; Domain: classification-production; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8907-504550.",travel classification regression-suite qa pt-br,detailed,commercial,2026-02-23T04:59:32.955885Z,1.0000,ok
+8908,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: data scientist; Task: grounding-check; Format: long-context; Language: PT_BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8908-765846.",travel classification regression-suite qa pt-br,minimal,consistent,2026-02-23T04:59:32.955885Z,1.0000,ok
+8909,"Theme: travel classification regression-suite qa pt-br; Domain: classification-qa; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8909-727891.",travel classification regression-suite qa pt-br,detailed,benchmark-grade,2026-02-23T04:59:32.955885Z,1.0000,ok
+8910,"Theme: travel classification regression-suite qa pt-br; Domain: classification-production; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: PT_BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8910-422335.",travel classification regression-suite qa pt-br,minimal,commercial,2026-02-23T04:59:32.955885Z,1.0000,ok
+8911,"Theme: travel classification regression-suite qa pt-br; Domain: classification-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: 8911-882519.",travel classification regression-suite qa pt-br,stylized,high-precision,2026-02-23T04:59:32.955885Z,1.0000,ok
+8912,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: PT_BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8912-942811.",travel classification regression-suite qa pt-br,minimal,benchmark-grade,2026-02-23T04:59:32.955885Z,1.0000,ok
+8913,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: PT_BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8913-788311.",travel classification regression-suite qa pt-br,cinematic,high-precision,2026-02-23T04:59:32.955885Z,1.0000,ok
+8914,"Theme: travel classification regression-suite qa pt-br; Domain: classification-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: 8914-117514.",travel classification regression-suite qa pt-br,clean,high-precision,2026-02-23T04:59:32.955885Z,1.0000,ok
+8915,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8915-753790.",travel classification regression-suite qa pt-br,minimal,consistent,2026-02-23T04:59:32.955885Z,1.0000,ok
+8916,"Theme: travel classification regression-suite qa pt-br; Domain: classification-production; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8916-258083.",travel classification regression-suite qa pt-br,production-ready,consistent,2026-02-23T04:59:32.955885Z,1.0000,ok
+8917,"Theme: travel classification regression-suite qa pt-br; Domain: classification-production; Persona: ai researcher; Task: quality-check; Format: long-context; Language: PT_BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8917-370631.",travel classification regression-suite qa pt-br,production-ready,benchmark-grade,2026-02-23T04:59:32.955885Z,1.0000,ok
+8918,"Theme: travel classification regression-suite qa pt-br; Domain: classification-qa; 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: 8918-311062.",travel classification regression-suite qa pt-br,detailed,benchmark-grade,2026-02-23T04:59:32.955885Z,1.0000,ok
+8919,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8919-442097.",travel classification regression-suite qa pt-br,production-ready,high-precision,2026-02-23T04:59:32.955885Z,1.0000,ok
+8920,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT_BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8920-391179.",travel classification regression-suite qa pt-br,cinematic,commercial,2026-02-23T04:59:32.955885Z,1.0000,ok
+8921,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT_BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8921-704502.",travel classification regression-suite qa pt-br,stylized,high-precision,2026-02-23T04:59:32.955885Z,1.0000,ok
+8922,"Theme: travel classification regression-suite qa pt-br; Domain: classification-production; Persona: data scientist; Task: grounding-check; Format: qa; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8922-857160.",travel classification regression-suite qa pt-br,stylized,commercial,2026-02-23T04:59:32.955885Z,1.0000,ok
+8923,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT_BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8923-567506.",travel classification regression-suite qa pt-br,detailed,high-precision,2026-02-23T04:59:32.955885Z,1.0000,ok
+8924,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8924-834228.",travel classification regression-suite qa pt-br,production-ready,high-precision,2026-02-23T04:59:32.955885Z,1.0000,ok
+8925,"Theme: travel classification regression-suite qa pt-br; Domain: classification-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: 8925-238615.",travel classification regression-suite qa pt-br,cinematic,high-precision,2026-02-23T04:59:32.955885Z,1.0000,ok
+8926,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: ml engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8926-161994.",travel classification regression-suite qa pt-br,detailed,premium,2026-02-23T04:59:32.955885Z,1.0000,ok
+8927,"Theme: travel classification regression-suite qa pt-br; Domain: classification-production; Persona: ml engineer; Task: benchmarking; Format: qa; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8927-641167.",travel classification regression-suite qa pt-br,production-ready,commercial,2026-02-23T04:59:32.955885Z,1.0000,ok
+8928,"Theme: travel classification regression-suite qa pt-br; Domain: classification-qa; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8928-650053.",travel classification regression-suite qa pt-br,stylized,consistent,2026-02-23T04:59:32.955885Z,1.0000,ok
+8929,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT_BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8929-814559.",travel classification regression-suite qa pt-br,detailed,benchmark-grade,2026-02-23T04:59:32.955885Z,1.0000,ok
+8930,"Theme: travel classification regression-suite qa pt-br; Domain: classification-production; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8930-261444.",travel classification regression-suite qa pt-br,cinematic,consistent,2026-02-23T04:59:32.955885Z,1.0000,ok
+8931,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT_BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8931-460388.",travel classification regression-suite qa pt-br,clean,commercial,2026-02-23T04:59:32.955885Z,1.0000,ok
+8932,"Theme: travel classification regression-suite qa pt-br; Domain: classification-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: 8932-860021.",travel classification regression-suite qa pt-br,production-ready,benchmark-grade,2026-02-23T04:59:32.955885Z,1.0000,ok
+8933,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; Persona: ai researcher; Task: benchmarking; Format: qa; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8933-927468.",travel classification regression-suite qa pt-br,minimal,high-precision,2026-02-23T04:59:32.955885Z,1.0000,ok
+8934,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; 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: 8934-392189.",travel classification regression-suite qa pt-br,stylized,benchmark-grade,2026-02-23T04:59:32.955885Z,1.0000,ok
+8935,"Theme: travel classification regression-suite qa pt-br; Domain: classification-production; Persona: ml engineer; Task: grounding-check; Format: qa; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8935-566842.",travel classification regression-suite qa pt-br,stylized,consistent,2026-02-23T04:59:32.955885Z,1.0000,ok
+8936,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; 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: 8936-107485.",travel classification regression-suite qa pt-br,stylized,benchmark-grade,2026-02-23T04:59:32.955885Z,1.0000,ok
+8937,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: PT_BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8937-963951.",travel classification regression-suite qa pt-br,production-ready,high-precision,2026-02-23T04:59:32.955885Z,1.0000,ok
+8938,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8938-761873.",travel classification regression-suite qa pt-br,clean,commercial,2026-02-23T04:59:32.955885Z,1.0000,ok
+8939,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT_BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8939-650507.",travel classification regression-suite qa pt-br,cinematic,premium,2026-02-23T04:59:32.955885Z,1.0000,ok
+8940,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8940-884078.",travel classification regression-suite qa pt-br,clean,consistent,2026-02-23T04:59:32.955885Z,1.0000,ok
+8941,"Theme: travel classification regression-suite qa pt-br; Domain: classification-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: 8941-978240.",travel classification regression-suite qa pt-br,cinematic,consistent,2026-02-23T04:59:32.955885Z,1.0000,ok
+8942,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8942-382134.",travel classification regression-suite qa pt-br,production-ready,consistent,2026-02-23T04:59:32.955885Z,1.0000,ok
+8943,"Theme: travel classification regression-suite qa pt-br; Domain: classification-production; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8943-422001.",travel classification regression-suite qa pt-br,stylized,premium,2026-02-23T04:59:32.955885Z,1.0000,ok
+8944,"Theme: travel classification regression-suite qa pt-br; Domain: classification-production; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8944-825617.",travel classification regression-suite qa pt-br,clean,benchmark-grade,2026-02-23T04:59:32.955885Z,1.0000,ok
+8945,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8945-702360.",travel classification regression-suite qa pt-br,cinematic,premium,2026-02-23T04:59:32.955885Z,1.0000,ok
+8946,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: PT_BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8946-665958.",travel classification regression-suite qa pt-br,clean,high-precision,2026-02-23T04:59:32.955885Z,1.0000,ok
+8947,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: PT_BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8947-662809.",travel classification regression-suite qa pt-br,clean,consistent,2026-02-23T04:59:32.955885Z,1.0000,ok
+8948,"Theme: travel classification regression-suite qa pt-br; Domain: classification-production; 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: 8948-437576.",travel classification regression-suite qa pt-br,cinematic,consistent,2026-02-23T04:59:32.955885Z,1.0000,ok
+8949,"Theme: travel classification regression-suite qa pt-br; Domain: classification-qa; Persona: ai researcher; Task: robustness-check; Format: qa; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8949-948317.",travel classification regression-suite qa pt-br,production-ready,consistent,2026-02-23T04:59:32.955885Z,1.0000,ok
+8950,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8950-939404.",travel classification regression-suite qa pt-br,stylized,high-precision,2026-02-23T04:59:32.955885Z,1.0000,ok
+8951,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; Persona: ai researcher; Task: quality-check; Format: qa; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8951-563996.",travel classification regression-suite qa pt-br,production-ready,commercial,2026-02-23T04:59:32.955885Z,1.0000,ok
+8952,"Theme: travel classification regression-suite qa pt-br; Domain: classification-qa; Persona: platform engineer; Task: benchmarking; Format: qa; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8952-556091.",travel classification regression-suite qa pt-br,production-ready,commercial,2026-02-23T04:59:32.955885Z,1.0000,ok
+8953,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: ai researcher; Task: quality-check; Format: qa; Language: EN-US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8953-113694.",travel classification regression-suite qa pt-br,cinematic,benchmark-grade,2026-02-23T04:59:32.955885Z,1.0000,ok
+8954,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8954-162553.",travel classification regression-suite qa pt-br,cinematic,consistent,2026-02-23T04:59:32.955885Z,1.0000,ok
+8955,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8955-886446.",travel classification regression-suite qa pt-br,production-ready,premium,2026-02-23T04:59:32.955885Z,1.0000,ok
+8956,"Theme: travel classification regression-suite qa pt-br; Domain: classification-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: 8956-834748.",travel classification regression-suite qa pt-br,detailed,commercial,2026-02-23T04:59:32.955885Z,1.0000,ok
+8957,"Theme: travel classification regression-suite qa pt-br; Domain: classification-production; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: PT_BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8957-351001.",travel classification regression-suite qa pt-br,cinematic,premium,2026-02-23T04:59:32.955885Z,1.0000,ok
+8958,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: ml engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8958-640576.",travel classification regression-suite qa pt-br,stylized,consistent,2026-02-23T04:59:32.955885Z,1.0000,ok
+8959,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; 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: 8959-196121.",travel classification regression-suite qa pt-br,detailed,high-precision,2026-02-23T04:59:32.955885Z,1.0000,ok
+8960,"Theme: travel classification regression-suite qa pt-br; Domain: classification-qa; 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: 8960-917539.",travel classification regression-suite qa pt-br,stylized,consistent,2026-02-23T04:59:32.955885Z,1.0000,ok
+8961,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; Persona: ml engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8961-237535.",travel classification regression-suite qa pt-br,stylized,premium,2026-02-23T04:59:32.955885Z,1.0000,ok
+8962,"Theme: travel classification regression-suite qa pt-br; Domain: classification; 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: 8962-106590.",travel classification regression-suite qa pt-br,production-ready,consistent,2026-02-23T04:59:32.955885Z,1.0000,ok
+8963,"Theme: travel classification regression-suite qa pt-br; Domain: classification-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: 8963-367385.",travel classification regression-suite qa pt-br,detailed,benchmark-grade,2026-02-23T04:59:32.955885Z,1.0000,ok
+8964,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8964-119862.",travel classification regression-suite qa pt-br,detailed,consistent,2026-02-23T04:59:32.955885Z,1.0000,ok
+8965,"Theme: travel classification regression-suite qa pt-br; Domain: classification-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: 8965-941212.",travel classification regression-suite qa pt-br,stylized,high-precision,2026-02-23T04:59:32.955885Z,1.0000,ok
+8966,"Theme: travel classification regression-suite qa pt-br; Domain: classification-production; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: PT_BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8966-742749.",travel classification regression-suite qa pt-br,stylized,consistent,2026-02-23T04:59:32.955885Z,1.0000,ok
+8967,"Theme: travel classification regression-suite qa pt-br; Domain: classification-production; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8967-713304.",travel classification regression-suite qa pt-br,detailed,high-precision,2026-02-23T04:59:32.955885Z,1.0000,ok
+8968,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; 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: 8968-883184.",travel classification regression-suite qa pt-br,detailed,consistent,2026-02-23T04:59:32.955885Z,1.0000,ok
+8969,"Theme: travel classification regression-suite qa pt-br; Domain: classification-production; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8969-793306.",travel classification regression-suite qa pt-br,minimal,premium,2026-02-23T04:59:32.955885Z,1.0000,ok
+8970,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: data scientist; Task: grounding-check; Format: qa; Language: PT_BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8970-530314.",travel classification regression-suite qa pt-br,stylized,commercial,2026-02-23T04:59:32.955885Z,1.0000,ok
+8971,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8971-132051.",travel classification regression-suite qa pt-br,detailed,premium,2026-02-23T04:59:32.955885Z,1.0000,ok
+8972,"Theme: travel classification regression-suite qa pt-br; Domain: classification-qa; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT_BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8972-722071.",travel classification regression-suite qa pt-br,stylized,premium,2026-02-23T04:59:32.955885Z,1.0000,ok
+8973,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; 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: 8973-789937.",travel classification regression-suite qa pt-br,clean,benchmark-grade,2026-02-23T04:59:32.955885Z,1.0000,ok
+8974,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8974-708621.",travel classification regression-suite qa pt-br,minimal,premium,2026-02-23T04:59:32.955885Z,1.0000,ok
+8975,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8975-271380.",travel classification regression-suite qa pt-br,stylized,benchmark-grade,2026-02-23T04:59:32.955885Z,1.0000,ok
+8976,"Theme: travel classification regression-suite qa pt-br; Domain: classification-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: 8976-701933.",travel classification regression-suite qa pt-br,minimal,commercial,2026-02-23T04:59:32.955885Z,1.0000,ok
+8977,"Theme: travel classification regression-suite qa pt-br; Domain: classification-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: 8977-332713.",travel classification regression-suite qa pt-br,minimal,consistent,2026-02-23T04:59:32.955885Z,1.0000,ok
+8978,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8978-152658.",travel classification regression-suite qa pt-br,detailed,high-precision,2026-02-23T04:59:32.955885Z,1.0000,ok
+8979,"Theme: travel classification regression-suite qa pt-br; Domain: classification-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: 8979-931425.",travel classification regression-suite qa pt-br,production-ready,consistent,2026-02-23T04:59:32.955885Z,1.0000,ok
+8980,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: ml engineer; Task: benchmarking; Format: qa; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8980-761583.",travel classification regression-suite qa pt-br,cinematic,benchmark-grade,2026-02-23T04:59:32.955885Z,1.0000,ok
+8981,"Theme: travel classification regression-suite qa pt-br; Domain: classification; 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: 8981-764022.",travel classification regression-suite qa pt-br,cinematic,premium,2026-02-23T04:59:32.955885Z,1.0000,ok
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+9004,"Theme: travel classification regression-suite qa pt-br; Domain: classification-production; Persona: ml engineer; Task: grounding-check; Format: qa; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9004-632681.",travel classification regression-suite qa pt-br,stylized,consistent,2026-02-23T04:59:32.955885Z,1.0000,ok
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+9046,"Theme: travel classification regression-suite qa pt-br; Domain: classification-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: 9046-759014.",travel classification regression-suite qa pt-br,cinematic,consistent,2026-02-23T04:59:32.955885Z,1.0000,ok
+9047,"Theme: travel classification regression-suite qa pt-br; Domain: classification-production; Persona: platform engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9047-889988.",travel classification regression-suite qa pt-br,cinematic,commercial,2026-02-23T04:59:32.955885Z,1.0000,ok
+9048,"Theme: travel classification regression-suite qa pt-br; Domain: classification-qa; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT_BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9048-955554.",travel classification regression-suite qa pt-br,cinematic,commercial,2026-02-23T04:59:32.955885Z,1.0000,ok
+9049,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9049-435656.",travel classification regression-suite qa pt-br,minimal,commercial,2026-02-23T04:59:32.955885Z,1.0000,ok
+9050,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; 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: 9050-554577.",travel classification regression-suite qa pt-br,production-ready,consistent,2026-02-23T04:59:32.955885Z,1.0000,ok
+9051,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: platform engineer; Task: robustness-check; Format: qa; Language: PT_BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9051-583967.",travel classification regression-suite qa pt-br,stylized,benchmark-grade,2026-02-23T04:59:32.955885Z,1.0000,ok
+9052,"Theme: travel classification regression-suite qa pt-br; Domain: classification-production; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9052-627281.",travel classification regression-suite qa pt-br,minimal,benchmark-grade,2026-02-23T04:59:32.955885Z,1.0000,ok
+9053,"Theme: travel classification regression-suite qa pt-br; Domain: classification; 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: 9053-270558.",travel classification regression-suite qa pt-br,production-ready,premium,2026-02-23T04:59:32.955885Z,1.0000,ok
+9054,"Theme: travel classification regression-suite qa pt-br; Domain: classification; 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: 9054-759825.",travel classification regression-suite qa pt-br,production-ready,high-precision,2026-02-23T04:59:32.955885Z,1.0000,ok
+9055,"Theme: travel classification regression-suite qa pt-br; Domain: classification-production; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT_BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9055-470605.",travel classification regression-suite qa pt-br,production-ready,commercial,2026-02-23T04:59:32.955885Z,1.0000,ok
+9056,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; 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: 9056-414806.",travel classification regression-suite qa pt-br,detailed,benchmark-grade,2026-02-23T04:59:32.955885Z,1.0000,ok
+9057,"Theme: travel classification regression-suite qa pt-br; Domain: classification-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: 9057-895259.",travel classification regression-suite qa pt-br,detailed,consistent,2026-02-23T04:59:32.955885Z,1.0000,ok
+9058,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; Persona: data scientist; Task: robustness-check; Format: long-context; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9058-588756.",travel classification regression-suite qa pt-br,production-ready,consistent,2026-02-23T04:59:32.955885Z,1.0000,ok
+9059,"Theme: travel classification regression-suite qa pt-br; Domain: classification-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: 9059-530306.",travel classification regression-suite qa pt-br,cinematic,high-precision,2026-02-23T04:59:32.955885Z,1.0000,ok
+9060,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; 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: 9060-236575.",travel classification regression-suite qa pt-br,stylized,premium,2026-02-23T04:59:32.955885Z,1.0000,ok
+9061,"Theme: travel classification regression-suite qa pt-br; Domain: classification-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: 9061-756562.",travel classification regression-suite qa pt-br,stylized,benchmark-grade,2026-02-23T04:59:32.955885Z,1.0000,ok
+9062,"Theme: travel classification regression-suite qa pt-br; Domain: classification-qa; Persona: ml engineer; Task: robustness-check; Format: qa; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9062-825352.",travel classification regression-suite qa pt-br,detailed,benchmark-grade,2026-02-23T04:59:32.955885Z,1.0000,ok
+9063,"Theme: travel classification regression-suite qa pt-br; Domain: classification-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: 9063-749352.",travel classification regression-suite qa pt-br,clean,premium,2026-02-23T04:59:32.955885Z,1.0000,ok
+9064,"Theme: travel classification regression-suite qa pt-br; Domain: classification-qa; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9064-499548.",travel classification regression-suite qa pt-br,clean,high-precision,2026-02-23T04:59:32.955885Z,1.0000,ok
+9065,"Theme: travel classification regression-suite qa pt-br; Domain: classification-production; Persona: platform engineer; Task: benchmarking; Format: qa; Language: PT_BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9065-906449.",travel classification regression-suite qa pt-br,cinematic,premium,2026-02-23T04:59:32.955885Z,1.0000,ok
+9066,"Theme: travel classification regression-suite qa pt-br; Domain: classification-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: 9066-426961.",travel classification regression-suite qa pt-br,minimal,consistent,2026-02-23T04:59:32.955885Z,1.0000,ok
+9067,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9067-224526.",travel classification regression-suite qa pt-br,minimal,high-precision,2026-02-23T04:59:32.955885Z,1.0000,ok
+9068,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; 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: 9068-511156.",travel classification regression-suite qa pt-br,stylized,high-precision,2026-02-23T04:59:32.955885Z,1.0000,ok
+9069,"Theme: travel classification regression-suite qa pt-br; Domain: classification; 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: 9069-940723.",travel classification regression-suite qa pt-br,stylized,consistent,2026-02-23T04:59:32.955885Z,1.0000,ok
+9070,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; Persona: data scientist; Task: grounding-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9070-141869.",travel classification regression-suite qa pt-br,clean,premium,2026-02-23T04:59:32.955885Z,1.0000,ok
+9071,"Theme: travel classification regression-suite qa pt-br; Domain: classification-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: 9071-219670.",travel classification regression-suite qa pt-br,stylized,premium,2026-02-23T04:59:32.955885Z,1.0000,ok
+9072,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: PT_BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9072-150520.",travel classification regression-suite qa pt-br,production-ready,premium,2026-02-23T04:59:32.955885Z,1.0000,ok
+9073,"Theme: travel classification regression-suite qa pt-br; Domain: classification-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: 9073-820559.",travel classification regression-suite qa pt-br,cinematic,high-precision,2026-02-23T04:59:32.955885Z,1.0000,ok
+9074,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; 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: 9074-187444.",travel classification regression-suite qa pt-br,clean,commercial,2026-02-23T04:59:32.955885Z,1.0000,ok
+9075,"Theme: travel classification regression-suite qa pt-br; Domain: classification-production; Persona: ml engineer; Task: robustness-check; Format: qa; Language: PT_BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9075-265658.",travel classification regression-suite qa pt-br,minimal,commercial,2026-02-23T04:59:32.955885Z,1.0000,ok
+9076,"Theme: travel classification regression-suite qa pt-br; Domain: classification-production; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9076-113692.",travel classification regression-suite qa pt-br,detailed,high-precision,2026-02-23T04:59:32.955885Z,1.0000,ok
+9077,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: PT_BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9077-500445.",travel classification regression-suite qa pt-br,production-ready,high-precision,2026-02-23T04:59:32.955885Z,1.0000,ok
+9078,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: ml engineer; Task: grounding-check; Format: qa; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9078-504468.",travel classification regression-suite qa pt-br,minimal,benchmark-grade,2026-02-23T04:59:32.955885Z,1.0000,ok
+9079,"Theme: travel classification regression-suite qa pt-br; Domain: classification-qa; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9079-439127.",travel classification regression-suite qa pt-br,cinematic,premium,2026-02-23T04:59:32.955885Z,1.0000,ok
+9080,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: PT_BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9080-213318.",travel classification regression-suite qa pt-br,stylized,consistent,2026-02-23T04:59:32.955885Z,1.0000,ok
+9081,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: ai researcher; Task: robustness-check; Format: qa; Language: PT_BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9081-257511.",travel classification regression-suite qa pt-br,stylized,commercial,2026-02-23T04:59:32.955885Z,1.0000,ok
+9082,"Theme: travel classification regression-suite qa pt-br; Domain: classification-production; Persona: data scientist; Task: benchmarking; Format: qa; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9082-189987.",travel classification regression-suite qa pt-br,clean,consistent,2026-02-23T04:59:32.955885Z,1.0000,ok
+9083,"Theme: travel classification regression-suite qa pt-br; Domain: classification-production; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9083-716050.",travel classification regression-suite qa pt-br,stylized,high-precision,2026-02-23T04:59:32.955885Z,1.0000,ok
+9084,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9084-498070.",travel classification regression-suite qa pt-br,stylized,premium,2026-02-23T04:59:32.955885Z,1.0000,ok
+9085,"Theme: travel classification regression-suite qa pt-br; Domain: classification-production; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9085-560391.",travel classification regression-suite qa pt-br,detailed,benchmark-grade,2026-02-23T04:59:32.955885Z,1.0000,ok
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+9087,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; Persona: data scientist; Task: quality-check; Format: qa; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9087-957213.",travel classification regression-suite qa pt-br,stylized,high-precision,2026-02-23T04:59:32.955885Z,1.0000,ok
+9088,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: ai researcher; Task: quality-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9088-508744.",travel classification regression-suite qa pt-br,cinematic,high-precision,2026-02-23T04:59:32.955885Z,1.0000,ok
+9089,"Theme: travel classification regression-suite qa pt-br; Domain: classification-qa; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9089-497265.",travel classification regression-suite qa pt-br,cinematic,premium,2026-02-23T04:59:32.955885Z,1.0000,ok
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+9091,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9091-720086.",travel classification regression-suite qa pt-br,stylized,premium,2026-02-23T04:59:32.955885Z,1.0000,ok
+9092,"Theme: travel classification regression-suite qa pt-br; Domain: classification-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: 9092-660547.",travel classification regression-suite qa pt-br,production-ready,high-precision,2026-02-23T04:59:32.955885Z,1.0000,ok
+9093,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9093-987619.",travel classification regression-suite qa pt-br,stylized,benchmark-grade,2026-02-23T04:59:32.955885Z,1.0000,ok
+9094,"Theme: travel classification regression-suite qa pt-br; Domain: classification-production; 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: 9094-878355.",travel classification regression-suite qa pt-br,stylized,commercial,2026-02-23T04:59:32.955885Z,1.0000,ok
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+9098,"Theme: travel classification regression-suite qa pt-br; Domain: classification-production; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9098-795174.",travel classification regression-suite qa pt-br,detailed,high-precision,2026-02-23T04:59:32.955885Z,1.0000,ok
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+9100,"Theme: travel classification regression-suite qa pt-br; Domain: classification-production; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT_BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9100-166142.",travel classification regression-suite qa pt-br,production-ready,high-precision,2026-02-23T04:59:32.955885Z,1.0000,ok
+9101,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; Persona: ml engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9101-178333.",travel classification regression-suite qa pt-br,stylized,benchmark-grade,2026-02-23T04:59:32.955885Z,1.0000,ok
+9102,"Theme: travel classification regression-suite qa pt-br; Domain: classification-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: 9102-145898.",travel classification regression-suite qa pt-br,stylized,high-precision,2026-02-23T04:59:32.955885Z,1.0000,ok
+9103,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT_BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9103-113387.",travel classification regression-suite qa pt-br,stylized,benchmark-grade,2026-02-23T04:59:32.955885Z,1.0000,ok
+9104,"Theme: travel classification regression-suite qa pt-br; Domain: classification-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: 9104-822127.",travel classification regression-suite qa pt-br,minimal,consistent,2026-02-23T04:59:32.955885Z,1.0000,ok
+9105,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; 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: 9105-369738.",travel classification regression-suite qa pt-br,production-ready,premium,2026-02-23T04:59:32.955885Z,1.0000,ok
+9106,"Theme: travel classification regression-suite qa pt-br; Domain: classification-qa; Persona: ml engineer; Task: robustness-check; Format: qa; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9106-101076.",travel classification regression-suite qa pt-br,detailed,benchmark-grade,2026-02-23T04:59:32.955885Z,1.0000,ok
+9107,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; 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: 9107-378198.",travel classification regression-suite qa pt-br,clean,commercial,2026-02-23T04:59:32.955885Z,1.0000,ok
+9108,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9108-954287.",travel classification regression-suite qa pt-br,cinematic,benchmark-grade,2026-02-23T04:59:32.955885Z,1.0000,ok
+9109,"Theme: travel classification regression-suite qa pt-br; Domain: classification-qa; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT_BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9109-869100.",travel classification regression-suite qa pt-br,cinematic,high-precision,2026-02-23T04:59:32.955885Z,1.0000,ok
+9110,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9110-320570.",travel classification regression-suite qa pt-br,stylized,commercial,2026-02-23T04:59:32.955885Z,1.0000,ok
+9111,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; Persona: ai researcher; Task: benchmarking; Format: qa; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9111-238239.",travel classification regression-suite qa pt-br,detailed,consistent,2026-02-23T04:59:32.955885Z,1.0000,ok
+9112,"Theme: travel classification regression-suite qa pt-br; Domain: classification-qa; Persona: data scientist; Task: benchmarking; Format: long-context; Language: PT_BR; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9112-320271.",travel classification regression-suite qa pt-br,minimal,consistent,2026-02-23T04:59:32.955885Z,1.0000,ok
+9113,"Theme: travel classification regression-suite qa pt-br; Domain: classification-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: 9113-541181.",travel classification regression-suite qa pt-br,clean,benchmark-grade,2026-02-23T04:59:32.955885Z,1.0000,ok
+9114,"Theme: travel classification regression-suite qa pt-br; Domain: classification-production; Persona: data scientist; Task: quality-check; Format: qa; Language: PT_BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9114-434671.",travel classification regression-suite qa pt-br,stylized,commercial,2026-02-23T04:59:32.955885Z,1.0000,ok
+9115,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9115-182246.",travel classification regression-suite qa pt-br,stylized,premium,2026-02-23T04:59:32.955885Z,1.0000,ok
+9116,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; 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: 9116-987010.",travel classification regression-suite qa pt-br,clean,premium,2026-02-23T04:59:32.955885Z,1.0000,ok
+9117,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; 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: 9117-492265.",travel classification regression-suite qa pt-br,cinematic,benchmark-grade,2026-02-23T04:59:32.955885Z,1.0000,ok
+9118,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9118-437173.",travel classification regression-suite qa pt-br,production-ready,benchmark-grade,2026-02-23T04:59:32.955885Z,1.0000,ok
+9119,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9119-753171.",travel classification regression-suite qa pt-br,cinematic,high-precision,2026-02-23T04:59:32.955885Z,1.0000,ok
+9120,"Theme: travel classification regression-suite qa pt-br; Domain: classification; 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: 9120-408718.",travel classification regression-suite qa pt-br,production-ready,consistent,2026-02-23T04:59:32.955885Z,1.0000,ok
+9121,"Theme: travel classification regression-suite qa pt-br; Domain: classification-qa; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9121-548057.",travel classification regression-suite qa pt-br,minimal,high-precision,2026-02-23T04:59:32.955885Z,1.0000,ok
+9122,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9122-343602.",travel classification regression-suite qa pt-br,detailed,high-precision,2026-02-23T04:59:32.955885Z,1.0000,ok
+9123,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: platform engineer; Task: benchmarking; Format: qa; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9123-208416.",travel classification regression-suite qa pt-br,detailed,benchmark-grade,2026-02-23T04:59:32.955885Z,1.0000,ok
+9124,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; Persona: data scientist; Task: grounding-check; Format: qa; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9124-258138.",travel classification regression-suite qa pt-br,stylized,benchmark-grade,2026-02-23T04:59:32.955885Z,1.0000,ok
+9125,"Theme: travel classification regression-suite qa pt-br; Domain: classification-qa; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9125-228529.",travel classification regression-suite qa pt-br,production-ready,high-precision,2026-02-23T04:59:32.955885Z,1.0000,ok
+9126,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: PT_BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9126-847037.",travel classification regression-suite qa pt-br,cinematic,high-precision,2026-02-23T04:59:32.955885Z,1.0000,ok
+9127,"Theme: travel classification regression-suite qa pt-br; Domain: classification-qa; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9127-270278.",travel classification regression-suite qa pt-br,production-ready,consistent,2026-02-23T04:59:32.955885Z,1.0000,ok
+9128,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; 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: 9128-818083.",travel classification regression-suite qa pt-br,detailed,benchmark-grade,2026-02-23T04:59:32.955885Z,1.0000,ok
+9129,"Theme: travel classification regression-suite qa pt-br; Domain: classification-production; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9129-932636.",travel classification regression-suite qa pt-br,minimal,premium,2026-02-23T04:59:32.955885Z,1.0000,ok
+9130,"Theme: travel classification regression-suite qa pt-br; Domain: classification-qa; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9130-698484.",travel classification regression-suite qa pt-br,stylized,commercial,2026-02-23T04:59:32.955885Z,1.0000,ok
+9131,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: data scientist; Task: grounding-check; Format: qa; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9131-355726.",travel classification regression-suite qa pt-br,cinematic,benchmark-grade,2026-02-23T04:59:32.955885Z,1.0000,ok
+9132,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; Persona: ai researcher; Task: grounding-check; Format: qa; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9132-198271.",travel classification regression-suite qa pt-br,minimal,premium,2026-02-23T04:59:32.955885Z,1.0000,ok
+9133,"Theme: travel classification regression-suite qa pt-br; Domain: classification; 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: 9133-481166.",travel classification regression-suite qa pt-br,stylized,consistent,2026-02-23T04:59:32.955885Z,1.0000,ok
+9134,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9134-879287.",travel classification regression-suite qa pt-br,detailed,premium,2026-02-23T04:59:32.955885Z,1.0000,ok
+9135,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: platform engineer; Task: benchmarking; Format: qa; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9135-503451.",travel classification regression-suite qa pt-br,cinematic,commercial,2026-02-23T04:59:32.955885Z,1.0000,ok
+9136,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9136-560051.",travel classification regression-suite qa pt-br,production-ready,commercial,2026-02-23T04:59:32.955885Z,1.0000,ok
+9137,"Theme: travel classification regression-suite qa pt-br; Domain: classification-production; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9137-108943.",travel classification regression-suite qa pt-br,production-ready,consistent,2026-02-23T04:59:32.955885Z,1.0000,ok
+9138,"Theme: travel classification regression-suite qa pt-br; Domain: classification-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: 9138-781407.",travel classification regression-suite qa pt-br,detailed,high-precision,2026-02-23T04:59:32.955885Z,1.0000,ok
+9139,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: PT_BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9139-767354.",travel classification regression-suite qa pt-br,stylized,premium,2026-02-23T04:59:32.955885Z,1.0000,ok
+9140,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: data scientist; Task: robustness-check; Format: qa; Language: PT_BR; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9140-992043.",travel classification regression-suite qa pt-br,stylized,consistent,2026-02-23T04:59:32.955885Z,1.0000,ok
+9141,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9141-550063.",travel classification regression-suite qa pt-br,stylized,high-precision,2026-02-23T04:59:32.955885Z,1.0000,ok
+9142,"Theme: travel classification regression-suite qa pt-br; Domain: classification-production; Persona: ai researcher; Task: quality-check; Format: long-context; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9142-524963.",travel classification regression-suite qa pt-br,production-ready,benchmark-grade,2026-02-23T04:59:32.955885Z,1.0000,ok
+9143,"Theme: travel classification regression-suite qa pt-br; Domain: classification; 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: 9143-796906.",travel classification regression-suite qa pt-br,clean,high-precision,2026-02-23T04:59:32.955885Z,1.0000,ok
+9144,"Theme: travel classification regression-suite qa pt-br; Domain: classification-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: 9144-958436.",travel classification regression-suite qa pt-br,minimal,consistent,2026-02-23T04:59:32.955885Z,1.0000,ok
+9145,"Theme: travel classification regression-suite qa pt-br; Domain: classification-qa; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT_BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9145-645398.",travel classification regression-suite qa pt-br,cinematic,commercial,2026-02-23T04:59:32.955885Z,1.0000,ok
+9146,"Theme: travel classification regression-suite qa pt-br; Domain: classification-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: 9146-995263.",travel classification regression-suite qa pt-br,production-ready,consistent,2026-02-23T04:59:32.955885Z,1.0000,ok
+9147,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: PT_BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9147-299947.",travel classification regression-suite qa pt-br,detailed,consistent,2026-02-23T04:59:32.955885Z,1.0000,ok
+9148,"Theme: travel classification regression-suite qa pt-br; Domain: classification; 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: 9148-124151.",travel classification regression-suite qa pt-br,minimal,consistent,2026-02-23T04:59:32.955885Z,1.0000,ok
+9149,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; Persona: ai researcher; Task: grounding-check; Format: qa; Language: PT_BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9149-561688.",travel classification regression-suite qa pt-br,minimal,consistent,2026-02-23T04:59:32.955885Z,1.0000,ok
+9150,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9150-252489.",travel classification regression-suite qa pt-br,production-ready,consistent,2026-02-23T04:59:32.955885Z,1.0000,ok
+9151,"Theme: travel classification regression-suite qa pt-br; Domain: classification; 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: 9151-991437.",travel classification regression-suite qa pt-br,cinematic,high-precision,2026-02-23T04:59:32.955885Z,1.0000,ok
+9152,"Theme: travel classification regression-suite qa pt-br; Domain: classification-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: 9152-512672.",travel classification regression-suite qa pt-br,stylized,premium,2026-02-23T04:59:32.955885Z,1.0000,ok
+9153,"Theme: travel classification regression-suite qa pt-br; Domain: classification-production; Persona: platform engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9153-516751.",travel classification regression-suite qa pt-br,detailed,benchmark-grade,2026-02-23T04:59:32.955885Z,1.0000,ok
+9154,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; 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: 9154-221014.",travel classification regression-suite qa pt-br,detailed,benchmark-grade,2026-02-23T04:59:32.955885Z,1.0000,ok
+9155,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9155-403851.",travel classification regression-suite qa pt-br,production-ready,commercial,2026-02-23T04:59:32.955885Z,1.0000,ok
+9156,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: ai researcher; Task: quality-check; Format: qa; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9156-803811.",travel classification regression-suite qa pt-br,production-ready,high-precision,2026-02-23T04:59:32.955885Z,1.0000,ok
+9157,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; Persona: data scientist; Task: quality-check; Format: qa; Language: PT_BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9157-933670.",travel classification regression-suite qa pt-br,cinematic,benchmark-grade,2026-02-23T04:59:32.955885Z,1.0000,ok
+9158,"Theme: travel classification regression-suite qa pt-br; Domain: classification-production; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9158-282675.",travel classification regression-suite qa pt-br,clean,premium,2026-02-23T04:59:32.955885Z,1.0000,ok
+9159,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: data scientist; Task: benchmarking; Format: long-context; Language: PT_BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9159-848694.",travel classification regression-suite qa pt-br,minimal,premium,2026-02-23T04:59:32.955885Z,1.0000,ok
+9160,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; 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: 9160-205673.",travel classification regression-suite qa pt-br,clean,premium,2026-02-23T04:59:32.955885Z,1.0000,ok
+9161,"Theme: travel classification regression-suite qa pt-br; Domain: classification; 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: 9161-512338.",travel classification regression-suite qa pt-br,production-ready,premium,2026-02-23T04:59:32.955885Z,1.0000,ok
+9162,"Theme: travel classification regression-suite qa pt-br; Domain: classification-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: 9162-931331.",travel classification regression-suite qa pt-br,detailed,consistent,2026-02-23T04:59:32.955885Z,1.0000,ok
+9163,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; Persona: ai researcher; Task: benchmarking; Format: qa; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9163-741015.",travel classification regression-suite qa pt-br,cinematic,commercial,2026-02-23T04:59:32.955885Z,1.0000,ok
+9164,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT_BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9164-146577.",travel classification regression-suite qa pt-br,cinematic,high-precision,2026-02-23T04:59:32.955885Z,1.0000,ok
+9165,"Theme: travel classification regression-suite qa pt-br; Domain: classification-production; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9165-327114.",travel classification regression-suite qa pt-br,minimal,commercial,2026-02-23T04:59:32.955885Z,1.0000,ok
+9166,"Theme: travel classification regression-suite qa pt-br; Domain: classification-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: 9166-184464.",travel classification regression-suite qa pt-br,clean,high-precision,2026-02-23T04:59:32.955885Z,1.0000,ok
+9167,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9167-782100.",travel classification regression-suite qa pt-br,stylized,benchmark-grade,2026-02-23T04:59:32.955885Z,1.0000,ok
+9168,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: PT_BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9168-868069.",travel classification regression-suite qa pt-br,detailed,consistent,2026-02-23T04:59:32.955885Z,1.0000,ok
+9169,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9169-270202.",travel classification regression-suite qa pt-br,production-ready,premium,2026-02-23T04:59:32.955885Z,1.0000,ok
+9170,"Theme: travel classification regression-suite qa pt-br; Domain: classification-qa; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT_BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9170-645310.",travel classification regression-suite qa pt-br,production-ready,consistent,2026-02-23T04:59:32.955885Z,1.0000,ok
+9171,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: ml engineer; Task: benchmarking; Format: qa; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9171-188191.",travel classification regression-suite qa pt-br,cinematic,commercial,2026-02-23T04:59:32.955885Z,1.0000,ok
+9172,"Theme: travel classification regression-suite qa pt-br; Domain: classification-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: 9172-422925.",travel classification regression-suite qa pt-br,stylized,commercial,2026-02-23T04:59:32.955885Z,1.0000,ok
+9173,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT_BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9173-551772.",travel classification regression-suite qa pt-br,clean,consistent,2026-02-23T04:59:32.955885Z,1.0000,ok
+9174,"Theme: travel classification regression-suite qa pt-br; Domain: classification-production; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9174-324269.",travel classification regression-suite qa pt-br,stylized,commercial,2026-02-23T04:59:32.955885Z,1.0000,ok
+9175,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9175-699157.",travel classification regression-suite qa pt-br,production-ready,benchmark-grade,2026-02-23T04:59:32.955885Z,1.0000,ok
+9176,"Theme: travel classification regression-suite qa pt-br; Domain: classification-qa; Persona: ai researcher; Task: quality-check; Format: qa; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9176-902088.",travel classification regression-suite qa pt-br,cinematic,premium,2026-02-23T04:59:32.955885Z,1.0000,ok
+9177,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: platform engineer; Task: quality-check; Format: qa; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9177-906211.",travel classification regression-suite qa pt-br,clean,premium,2026-02-23T04:59:32.955885Z,1.0000,ok
+9178,"Theme: travel classification regression-suite qa pt-br; Domain: classification-production; Persona: platform engineer; Task: quality-check; Format: qa; Language: PT_BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9178-811434.",travel classification regression-suite qa pt-br,minimal,benchmark-grade,2026-02-23T04:59:32.955885Z,1.0000,ok
+9179,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9179-582707.",travel classification regression-suite qa pt-br,production-ready,consistent,2026-02-23T04:59:32.955885Z,1.0000,ok
+9180,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: ai researcher; Task: benchmarking; Format: qa; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9180-972891.",travel classification regression-suite qa pt-br,detailed,consistent,2026-02-23T04:59:32.955885Z,1.0000,ok
+9181,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: ai researcher; Task: benchmarking; Format: qa; Language: PT_BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9181-212816.",travel classification regression-suite qa pt-br,cinematic,benchmark-grade,2026-02-23T04:59:32.955885Z,1.0000,ok
+9182,"Theme: travel classification regression-suite qa pt-br; Domain: classification-production; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9182-196332.",travel classification regression-suite qa pt-br,detailed,benchmark-grade,2026-02-23T04:59:32.955885Z,1.0000,ok
+9183,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9183-514293.",travel classification regression-suite qa pt-br,clean,high-precision,2026-02-23T04:59:32.955885Z,1.0000,ok
+9184,"Theme: travel classification regression-suite qa pt-br; Domain: classification-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: 9184-548626.",travel classification regression-suite qa pt-br,stylized,high-precision,2026-02-23T04:59:32.955885Z,1.0000,ok
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+9186,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT_BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9186-849659.",travel classification regression-suite qa pt-br,detailed,high-precision,2026-02-23T04:59:32.955885Z,1.0000,ok
+9187,"Theme: travel classification regression-suite qa pt-br; Domain: classification-qa; 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: 9187-676169.",travel classification regression-suite qa pt-br,detailed,commercial,2026-02-23T04:59:32.955885Z,1.0000,ok
+9188,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9188-832596.",travel classification regression-suite qa pt-br,minimal,high-precision,2026-02-23T04:59:32.955885Z,1.0000,ok
+9189,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; Persona: data scientist; Task: robustness-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9189-572423.",travel classification regression-suite qa pt-br,stylized,benchmark-grade,2026-02-23T04:59:32.955885Z,1.0000,ok
+9190,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9190-924577.",travel classification regression-suite qa pt-br,production-ready,premium,2026-02-23T04:59:32.955885Z,1.0000,ok
+9191,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: platform engineer; Task: robustness-check; Format: qa; Language: PT_BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9191-994606.",travel classification regression-suite qa pt-br,detailed,benchmark-grade,2026-02-23T04:59:32.955885Z,1.0000,ok
+9192,"Theme: travel classification regression-suite qa pt-br; Domain: classification-production; Persona: data scientist; Task: benchmarking; Format: qa; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9192-286871.",travel classification regression-suite qa pt-br,clean,premium,2026-02-23T04:59:32.955885Z,1.0000,ok
+9193,"Theme: travel classification regression-suite qa pt-br; Domain: classification-qa; Persona: data scientist; Task: grounding-check; Format: qa; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9193-586121.",travel classification regression-suite qa pt-br,minimal,premium,2026-02-23T04:59:32.955885Z,1.0000,ok
+9194,"Theme: travel classification regression-suite qa pt-br; Domain: classification-qa; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9194-771506.",travel classification regression-suite qa pt-br,stylized,high-precision,2026-02-23T04:59:32.955885Z,1.0000,ok
+9195,"Theme: travel classification regression-suite qa pt-br; Domain: classification-qa; Persona: data scientist; Task: robustness-check; Format: qa; Language: PT_BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9195-200297.",travel classification regression-suite qa pt-br,production-ready,high-precision,2026-02-23T04:59:32.955885Z,1.0000,ok
+9196,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9196-752724.",travel classification regression-suite qa pt-br,stylized,commercial,2026-02-23T04:59:32.955885Z,1.0000,ok
+9197,"Theme: travel classification regression-suite qa pt-br; Domain: classification-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: 9197-556546.",travel classification regression-suite qa pt-br,clean,benchmark-grade,2026-02-23T04:59:32.955885Z,1.0000,ok
+9198,"Theme: travel classification regression-suite qa pt-br; Domain: classification-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: 9198-164722.",travel classification regression-suite qa pt-br,production-ready,premium,2026-02-23T04:59:32.955885Z,1.0000,ok
+9199,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9199-489257.",travel classification regression-suite qa pt-br,stylized,benchmark-grade,2026-02-23T04:59:32.955885Z,1.0000,ok
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+9201,"Theme: travel classification regression-suite qa pt-br; Domain: classification-qa; Persona: data scientist; Task: benchmarking; Format: qa; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9201-572870.",travel classification regression-suite qa pt-br,production-ready,high-precision,2026-02-23T04:59:32.955885Z,1.0000,ok
+9202,"Theme: travel classification regression-suite qa pt-br; Domain: classification-production; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9202-911235.",travel classification regression-suite qa pt-br,detailed,benchmark-grade,2026-02-23T04:59:32.955885Z,1.0000,ok
+9203,"Theme: travel classification regression-suite qa pt-br; Domain: classification-qa; Persona: ml engineer; Task: quality-check; Format: qa; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9203-532186.",travel classification regression-suite qa pt-br,stylized,benchmark-grade,2026-02-23T04:59:32.955885Z,1.0000,ok
+9204,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9204-198666.",travel classification regression-suite qa pt-br,clean,benchmark-grade,2026-02-23T04:59:32.955885Z,1.0000,ok
+9205,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9205-892596.",travel classification regression-suite qa pt-br,production-ready,benchmark-grade,2026-02-23T04:59:32.955885Z,1.0000,ok
+9206,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: ai researcher; Task: robustness-check; Format: qa; Language: PT_BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9206-224429.",travel classification regression-suite qa pt-br,clean,high-precision,2026-02-23T04:59:32.955885Z,1.0000,ok
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+9208,"Theme: travel classification regression-suite qa pt-br; Domain: classification-production; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9208-696546.",travel classification regression-suite qa pt-br,minimal,high-precision,2026-02-23T04:59:32.955885Z,1.0000,ok
+9209,"Theme: travel classification regression-suite qa pt-br; Domain: classification-production; Persona: ai researcher; Task: benchmarking; Format: qa; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9209-151432.",travel classification regression-suite qa pt-br,stylized,commercial,2026-02-23T04:59:32.955885Z,1.0000,ok
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+9241,"Theme: travel classification regression-suite qa pt-br; Domain: classification; 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: 9241-810929.",travel classification regression-suite qa pt-br,production-ready,consistent,2026-02-23T04:59:32.955885Z,1.0000,ok
+9242,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT_BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9242-432126.",travel classification regression-suite qa pt-br,minimal,benchmark-grade,2026-02-23T04:59:32.955885Z,1.0000,ok
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+9245,"Theme: travel classification regression-suite qa pt-br; Domain: classification-qa; Persona: ai researcher; Task: quality-check; Format: long-context; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9245-363717.",travel classification regression-suite qa pt-br,clean,benchmark-grade,2026-02-23T04:59:32.955885Z,1.0000,ok
+9246,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9246-336893.",travel classification regression-suite qa pt-br,minimal,commercial,2026-02-23T04:59:32.955885Z,1.0000,ok
+9247,"Theme: travel classification regression-suite qa pt-br; Domain: classification-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: 9247-855644.",travel classification regression-suite qa pt-br,minimal,high-precision,2026-02-23T04:59:32.955885Z,1.0000,ok
+9248,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9248-657312.",travel classification regression-suite qa pt-br,stylized,premium,2026-02-23T04:59:32.955885Z,1.0000,ok
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+9254,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: ai researcher; Task: robustness-check; Format: qa; Language: PT_BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9254-331878.",travel classification regression-suite qa pt-br,production-ready,consistent,2026-02-23T04:59:32.955885Z,1.0000,ok
+9255,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; Persona: ml engineer; Task: quality-check; Format: qa; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9255-688467.",travel classification regression-suite qa pt-br,production-ready,high-precision,2026-02-23T04:59:32.955885Z,1.0000,ok
+9256,"Theme: travel classification regression-suite qa pt-br; Domain: classification-production; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9256-764558.",travel classification regression-suite qa pt-br,production-ready,premium,2026-02-23T04:59:32.955885Z,1.0000,ok
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+9258,"Theme: travel classification regression-suite qa pt-br; Domain: classification-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: 9258-401678.",travel classification regression-suite qa pt-br,detailed,premium,2026-02-23T04:59:32.955885Z,1.0000,ok
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+9262,"Theme: travel classification regression-suite qa pt-br; Domain: classification-qa; Persona: platform engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9262-493583.",travel classification regression-suite qa pt-br,cinematic,consistent,2026-02-23T04:59:32.955885Z,1.0000,ok
+9263,"Theme: travel classification regression-suite qa pt-br; Domain: classification-qa; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: PT_BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9263-524666.",travel classification regression-suite qa pt-br,stylized,premium,2026-02-23T04:59:32.955885Z,1.0000,ok
+9264,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9264-484195.",travel classification regression-suite qa pt-br,detailed,high-precision,2026-02-23T04:59:32.955885Z,1.0000,ok
+9265,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: ml engineer; Task: robustness-check; Format: qa; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9265-979944.",travel classification regression-suite qa pt-br,cinematic,consistent,2026-02-23T04:59:32.955885Z,1.0000,ok
+9266,"Theme: travel classification regression-suite qa pt-br; Domain: classification-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: 9266-818324.",travel classification regression-suite qa pt-br,production-ready,benchmark-grade,2026-02-23T04:59:32.955885Z,1.0000,ok
+9267,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: platform engineer; Task: quality-check; Format: qa; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9267-740999.",travel classification regression-suite qa pt-br,stylized,premium,2026-02-23T04:59:32.955885Z,1.0000,ok
+9268,"Theme: travel classification regression-suite qa pt-br; Domain: classification-qa; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9268-447612.",travel classification regression-suite qa pt-br,production-ready,high-precision,2026-02-23T04:59:32.955885Z,1.0000,ok
+9269,"Theme: travel classification regression-suite qa pt-br; Domain: classification-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: 9269-865539.",travel classification regression-suite qa pt-br,production-ready,high-precision,2026-02-23T04:59:32.955885Z,1.0000,ok
+9270,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: PT_BR; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9270-545138.",travel classification regression-suite qa pt-br,stylized,premium,2026-02-23T04:59:32.955885Z,1.0000,ok
+9271,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; 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: 9271-607474.",travel classification regression-suite qa pt-br,minimal,premium,2026-02-23T04:59:32.955885Z,1.0000,ok
+9272,"Theme: travel classification regression-suite qa pt-br; Domain: classification-production; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: PT_BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9272-997720.",travel classification regression-suite qa pt-br,production-ready,consistent,2026-02-23T04:59:32.955885Z,1.0000,ok
+9273,"Theme: travel classification regression-suite qa pt-br; Domain: classification-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: 9273-697423.",travel classification regression-suite qa pt-br,detailed,high-precision,2026-02-23T04:59:32.955885Z,1.0000,ok
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+9275,"Theme: travel classification regression-suite qa pt-br; Domain: classification-qa; Persona: platform engineer; Task: benchmarking; Format: qa; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9275-361903.",travel classification regression-suite qa pt-br,clean,high-precision,2026-02-23T04:59:32.955885Z,1.0000,ok
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+9309,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; Persona: data scientist; Task: quality-check; Format: long-context; Language: PT_BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9309-967562.",travel classification regression-suite qa pt-br,cinematic,premium,2026-02-23T04:59:32.955885Z,1.0000,ok
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+9311,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: platform engineer; Task: robustness-check; Format: qa; Language: PT_BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9311-344348.",travel classification regression-suite qa pt-br,detailed,high-precision,2026-02-23T04:59:32.955885Z,1.0000,ok
+9312,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; Persona: ai researcher; Task: grounding-check; Format: qa; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9312-610973.",travel classification regression-suite qa pt-br,clean,commercial,2026-02-23T04:59:32.955885Z,1.0000,ok
+9313,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9313-584763.",travel classification regression-suite qa pt-br,clean,commercial,2026-02-23T04:59:32.955885Z,1.0000,ok
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+9321,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9321-724211.",travel classification regression-suite qa pt-br,production-ready,benchmark-grade,2026-02-23T04:59:32.955885Z,1.0000,ok
+9322,"Theme: travel classification regression-suite qa pt-br; Domain: classification-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: 9322-813062.",travel classification regression-suite qa pt-br,detailed,commercial,2026-02-23T04:59:32.955885Z,1.0000,ok
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+9328,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: PT_BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9328-752574.",travel classification regression-suite qa pt-br,clean,high-precision,2026-02-23T04:59:32.955885Z,1.0000,ok
+9329,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9329-712964.",travel classification regression-suite qa pt-br,minimal,commercial,2026-02-23T04:59:32.955885Z,1.0000,ok
+9330,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; 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: 9330-328067.",travel classification regression-suite qa pt-br,clean,benchmark-grade,2026-02-23T04:59:32.955885Z,1.0000,ok
+9331,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: PT_BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9331-301274.",travel classification regression-suite qa pt-br,minimal,high-precision,2026-02-23T04:59:32.955885Z,1.0000,ok
+9332,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9332-429326.",travel classification regression-suite qa pt-br,detailed,commercial,2026-02-23T04:59:32.955885Z,1.0000,ok
+9333,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9333-853549.",travel classification regression-suite qa pt-br,stylized,commercial,2026-02-23T04:59:32.955885Z,1.0000,ok
+9334,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: ai researcher; Task: grounding-check; Format: qa; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9334-823526.",travel classification regression-suite qa pt-br,minimal,benchmark-grade,2026-02-23T04:59:32.955885Z,1.0000,ok
+9335,"Theme: travel classification regression-suite qa pt-br; Domain: classification-production; Persona: data scientist; Task: grounding-check; Format: qa; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9335-394110.",travel classification regression-suite qa pt-br,production-ready,high-precision,2026-02-23T04:59:32.955885Z,1.0000,ok
+9336,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; Persona: platform engineer; Task: benchmarking; Format: qa; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9336-106769.",travel classification regression-suite qa pt-br,stylized,consistent,2026-02-23T04:59:32.955885Z,1.0000,ok
+9337,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9337-195671.",travel classification regression-suite qa pt-br,minimal,benchmark-grade,2026-02-23T04:59:32.955885Z,1.0000,ok
+9338,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9338-473425.",travel classification regression-suite qa pt-br,clean,benchmark-grade,2026-02-23T04:59:32.955885Z,1.0000,ok
+9339,"Theme: travel classification regression-suite qa pt-br; Domain: classification-qa; 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: 9339-274467.",travel classification regression-suite qa pt-br,stylized,high-precision,2026-02-23T04:59:32.955885Z,1.0000,ok
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+9341,"Theme: travel classification regression-suite qa pt-br; Domain: classification-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: 9341-803347.",travel classification regression-suite qa pt-br,detailed,benchmark-grade,2026-02-23T04:59:32.955885Z,1.0000,ok
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+9376,"Theme: travel classification regression-suite qa pt-br; Domain: classification-production; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9376-629346.",travel classification regression-suite qa pt-br,cinematic,premium,2026-02-23T04:59:32.955885Z,1.0000,ok
+9377,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: ml engineer; Task: quality-check; Format: qa; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9377-317964.",travel classification regression-suite qa pt-br,stylized,premium,2026-02-23T04:59:32.955885Z,1.0000,ok
+9378,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9378-685356.",travel classification regression-suite qa pt-br,clean,premium,2026-02-23T04:59:32.955885Z,1.0000,ok
+9379,"Theme: travel classification regression-suite qa pt-br; Domain: classification-qa; Persona: platform engineer; Task: robustness-check; Format: qa; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9379-616392.",travel classification regression-suite qa pt-br,detailed,high-precision,2026-02-23T04:59:32.955885Z,1.0000,ok
+9380,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: ai researcher; Task: grounding-check; Format: qa; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9380-420217.",travel classification regression-suite qa pt-br,stylized,consistent,2026-02-23T04:59:32.955885Z,1.0000,ok
+9381,"Theme: travel classification regression-suite qa pt-br; Domain: classification-qa; Persona: ml engineer; Task: robustness-check; Format: qa; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9381-517790.",travel classification regression-suite qa pt-br,clean,high-precision,2026-02-23T04:59:32.955885Z,1.0000,ok
+9382,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9382-608390.",travel classification regression-suite qa pt-br,stylized,consistent,2026-02-23T04:59:32.955885Z,1.0000,ok
+9383,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: platform engineer; Task: grounding-check; Format: qa; Language: PT_BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9383-626192.",travel classification regression-suite qa pt-br,clean,consistent,2026-02-23T04:59:32.955885Z,1.0000,ok
+9384,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: platform engineer; Task: quality-check; Format: qa; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9384-660022.",travel classification regression-suite qa pt-br,minimal,premium,2026-02-23T04:59:32.955885Z,1.0000,ok
+9385,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: ml engineer; Task: benchmarking; Format: qa; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9385-786722.",travel classification regression-suite qa pt-br,detailed,high-precision,2026-02-23T04:59:32.955885Z,1.0000,ok
+9386,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: ai researcher; Task: benchmarking; Format: qa; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9386-283276.",travel classification regression-suite qa pt-br,minimal,consistent,2026-02-23T04:59:32.955885Z,1.0000,ok
+9387,"Theme: travel classification regression-suite qa pt-br; Domain: classification-production; Persona: platform engineer; Task: quality-check; Format: qa; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9387-191633.",travel classification regression-suite qa pt-br,cinematic,consistent,2026-02-23T04:59:32.955885Z,1.0000,ok
+9388,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; Persona: ml engineer; Task: grounding-check; Format: qa; Language: PT_BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9388-179645.",travel classification regression-suite qa pt-br,clean,premium,2026-02-23T04:59:32.955885Z,1.0000,ok
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+9390,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: ml engineer; Task: benchmarking; Format: qa; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9390-731465.",travel classification regression-suite qa pt-br,production-ready,consistent,2026-02-23T04:59:32.955885Z,1.0000,ok
+9391,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: PT_BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9391-533558.",travel classification regression-suite qa pt-br,minimal,consistent,2026-02-23T04:59:32.955885Z,1.0000,ok
+9392,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; 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: 9392-735017.",travel classification regression-suite qa pt-br,minimal,commercial,2026-02-23T04:59:32.955885Z,1.0000,ok
+9393,"Theme: travel classification regression-suite qa pt-br; Domain: classification-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: 9393-205707.",travel classification regression-suite qa pt-br,minimal,high-precision,2026-02-23T04:59:32.955885Z,1.0000,ok
+9394,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9394-220670.",travel classification regression-suite qa pt-br,cinematic,premium,2026-02-23T04:59:32.955885Z,1.0000,ok
+9395,"Theme: travel classification regression-suite qa pt-br; Domain: classification-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: 9395-654274.",travel classification regression-suite qa pt-br,clean,premium,2026-02-23T04:59:32.955885Z,1.0000,ok
+9396,"Theme: travel classification regression-suite qa pt-br; Domain: classification-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: 9396-497622.",travel classification regression-suite qa pt-br,stylized,high-precision,2026-02-23T04:59:32.955885Z,1.0000,ok
+9397,"Theme: travel classification regression-suite qa pt-br; Domain: classification-qa; Persona: ai researcher; Task: benchmarking; Format: qa; Language: PT_BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9397-245580.",travel classification regression-suite qa pt-br,minimal,benchmark-grade,2026-02-23T04:59:32.955885Z,1.0000,ok
+9398,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; Persona: ai researcher; Task: benchmarking; Format: qa; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9398-592781.",travel classification regression-suite qa pt-br,minimal,benchmark-grade,2026-02-23T04:59:32.955885Z,1.0000,ok
+9399,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9399-674687.",travel classification regression-suite qa pt-br,detailed,benchmark-grade,2026-02-23T04:59:32.955885Z,1.0000,ok
+9400,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9400-337935.",travel classification regression-suite qa pt-br,cinematic,commercial,2026-02-23T04:59:32.955885Z,1.0000,ok
+9401,"Theme: travel classification regression-suite qa pt-br; Domain: classification-production; Persona: ml engineer; Task: grounding-check; Format: qa; Language: PT_BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9401-586571.",travel classification regression-suite qa pt-br,clean,commercial,2026-02-23T04:59:32.955885Z,1.0000,ok
+9402,"Theme: travel classification regression-suite qa pt-br; Domain: classification-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: 9402-263682.",travel classification regression-suite qa pt-br,clean,commercial,2026-02-23T04:59:32.955885Z,1.0000,ok
+9403,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: PT_BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9403-777637.",travel classification regression-suite qa pt-br,cinematic,commercial,2026-02-23T04:59:32.955885Z,1.0000,ok
+9404,"Theme: travel classification regression-suite qa pt-br; Domain: classification-production; 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: 9404-203308.",travel classification regression-suite qa pt-br,clean,high-precision,2026-02-23T04:59:32.955885Z,1.0000,ok
+9405,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT_BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9405-141112.",travel classification regression-suite qa pt-br,cinematic,premium,2026-02-23T04:59:32.955885Z,1.0000,ok
+9406,"Theme: travel classification regression-suite qa pt-br; Domain: classification-qa; Persona: data scientist; Task: robustness-check; Format: qa; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9406-873294.",travel classification regression-suite qa pt-br,cinematic,commercial,2026-02-23T04:59:32.955885Z,1.0000,ok
+9407,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; Persona: platform engineer; Task: quality-check; Format: qa; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9407-561326.",travel classification regression-suite qa pt-br,minimal,consistent,2026-02-23T04:59:32.955885Z,1.0000,ok
+9408,"Theme: travel classification regression-suite qa pt-br; Domain: classification-qa; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9408-405091.",travel classification regression-suite qa pt-br,detailed,premium,2026-02-23T04:59:32.955885Z,1.0000,ok
+9409,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; 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: 9409-425372.",travel classification regression-suite qa pt-br,production-ready,benchmark-grade,2026-02-23T04:59:32.955885Z,1.0000,ok
+9410,"Theme: travel classification regression-suite qa pt-br; Domain: classification-production; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9410-705068.",travel classification regression-suite qa pt-br,minimal,high-precision,2026-02-23T04:59:32.955885Z,1.0000,ok
+9411,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: platform engineer; Task: grounding-check; Format: qa; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9411-390275.",travel classification regression-suite qa pt-br,cinematic,consistent,2026-02-23T04:59:32.955885Z,1.0000,ok
+9412,"Theme: travel classification regression-suite qa pt-br; Domain: classification-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: 9412-388455.",travel classification regression-suite qa pt-br,clean,high-precision,2026-02-23T04:59:32.955885Z,1.0000,ok
+9413,"Theme: travel classification regression-suite qa pt-br; Domain: classification-production; Persona: ai researcher; Task: robustness-check; Format: qa; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9413-124945.",travel classification regression-suite qa pt-br,production-ready,consistent,2026-02-23T04:59:32.955885Z,1.0000,ok
+9414,"Theme: travel classification regression-suite qa pt-br; Domain: classification-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: 9414-651466.",travel classification regression-suite qa pt-br,cinematic,commercial,2026-02-23T04:59:32.955885Z,1.0000,ok
+9415,"Theme: travel classification regression-suite qa pt-br; Domain: classification-qa; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9415-226929.",travel classification regression-suite qa pt-br,cinematic,consistent,2026-02-23T04:59:32.955885Z,1.0000,ok
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+9417,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; 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: 9417-139722.",travel classification regression-suite qa pt-br,detailed,premium,2026-02-23T04:59:32.955885Z,1.0000,ok
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+9423,"Theme: travel classification regression-suite qa pt-br; Domain: classification-production; 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: 9423-419979.",travel classification regression-suite qa pt-br,detailed,premium,2026-02-23T04:59:32.955885Z,1.0000,ok
+9424,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT_BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9424-248816.",travel classification regression-suite qa pt-br,detailed,premium,2026-02-23T04:59:32.955885Z,1.0000,ok
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+9426,"Theme: travel classification regression-suite qa pt-br; Domain: classification-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: 9426-217255.",travel classification regression-suite qa pt-br,cinematic,benchmark-grade,2026-02-23T04:59:32.955885Z,1.0000,ok
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+9428,"Theme: travel classification regression-suite qa pt-br; Domain: classification; 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: 9428-872194.",travel classification regression-suite qa pt-br,cinematic,benchmark-grade,2026-02-23T04:59:32.955885Z,1.0000,ok
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+9431,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; Persona: data scientist; Task: robustness-check; Format: qa; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9431-611660.",travel classification regression-suite qa pt-br,production-ready,premium,2026-02-23T04:59:32.955885Z,1.0000,ok
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+9439,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9439-695255.",travel classification regression-suite qa pt-br,cinematic,premium,2026-02-23T04:59:32.955885Z,1.0000,ok
+9440,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9440-321216.",travel classification regression-suite qa pt-br,production-ready,high-precision,2026-02-23T04:59:32.955885Z,1.0000,ok
+9441,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; 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: 9441-144511.",travel classification regression-suite qa pt-br,minimal,commercial,2026-02-23T04:59:32.955885Z,1.0000,ok
+9442,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: PT_BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9442-734483.",travel classification regression-suite qa pt-br,clean,high-precision,2026-02-23T04:59:32.955885Z,1.0000,ok
+9443,"Theme: travel classification regression-suite qa pt-br; Domain: classification-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: 9443-938213.",travel classification regression-suite qa pt-br,minimal,consistent,2026-02-23T04:59:32.955885Z,1.0000,ok
+9444,"Theme: travel classification regression-suite qa pt-br; Domain: classification-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: 9444-981679.",travel classification regression-suite qa pt-br,production-ready,consistent,2026-02-23T04:59:32.955885Z,1.0000,ok
+9445,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; Persona: data scientist; Task: quality-check; Format: long-context; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9445-278235.",travel classification regression-suite qa pt-br,cinematic,premium,2026-02-23T04:59:32.955885Z,1.0000,ok
+9446,"Theme: travel classification regression-suite qa pt-br; Domain: classification-qa; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9446-790874.",travel classification regression-suite qa pt-br,cinematic,consistent,2026-02-23T04:59:32.955885Z,1.0000,ok
+9447,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: ai researcher; Task: robustness-check; Format: qa; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9447-244198.",travel classification regression-suite qa pt-br,clean,consistent,2026-02-23T04:59:32.955885Z,1.0000,ok
+9448,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; Persona: data scientist; Task: benchmarking; Format: qa; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9448-483326.",travel classification regression-suite qa pt-br,minimal,high-precision,2026-02-23T04:59:32.955885Z,1.0000,ok
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+9513,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: PT_BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9513-152983.",travel classification regression-suite qa pt-br,cinematic,commercial,2026-02-23T04:59:32.955885Z,1.0000,ok
+9514,"Theme: travel classification regression-suite qa pt-br; Domain: classification-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: 9514-396040.",travel classification regression-suite qa pt-br,minimal,consistent,2026-02-23T04:59:32.955885Z,1.0000,ok
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+9516,"Theme: travel classification regression-suite qa pt-br; Domain: classification-production; Persona: ml engineer; Task: quality-check; Format: qa; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9516-629293.",travel classification regression-suite qa pt-br,stylized,benchmark-grade,2026-02-23T04:59:32.955885Z,1.0000,ok
+9517,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; 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: 9517-435465.",travel classification regression-suite qa pt-br,stylized,commercial,2026-02-23T04:59:32.955885Z,1.0000,ok
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+9519,"Theme: travel classification regression-suite qa pt-br; Domain: classification-production; Persona: ml engineer; Task: benchmarking; Format: qa; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9519-840048.",travel classification regression-suite qa pt-br,clean,benchmark-grade,2026-02-23T04:59:32.955885Z,1.0000,ok
+9520,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: PT_BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9520-900170.",travel classification regression-suite qa pt-br,detailed,commercial,2026-02-23T04:59:32.955885Z,1.0000,ok
+9521,"Theme: travel classification regression-suite qa pt-br; Domain: classification-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: 9521-627217.",travel classification regression-suite qa pt-br,minimal,commercial,2026-02-23T04:59:32.955885Z,1.0000,ok
+9522,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9522-990882.",travel classification regression-suite qa pt-br,minimal,high-precision,2026-02-23T04:59:32.955885Z,1.0000,ok
+9523,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9523-577130.",travel classification regression-suite qa pt-br,stylized,commercial,2026-02-23T04:59:32.955885Z,1.0000,ok
+9524,"Theme: travel classification regression-suite qa pt-br; Domain: classification-qa; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9524-432592.",travel classification regression-suite qa pt-br,detailed,high-precision,2026-02-23T04:59:32.955885Z,1.0000,ok
+9525,"Theme: travel classification regression-suite qa pt-br; Domain: classification; 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: 9525-752827.",travel classification regression-suite qa pt-br,cinematic,high-precision,2026-02-23T04:59:32.955885Z,1.0000,ok
+9526,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: ml engineer; Task: grounding-check; Format: qa; Language: PT_BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9526-533838.",travel classification regression-suite qa pt-br,clean,benchmark-grade,2026-02-23T04:59:32.955885Z,1.0000,ok
+9527,"Theme: travel classification regression-suite qa pt-br; Domain: classification-production; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9527-680619.",travel classification regression-suite qa pt-br,stylized,commercial,2026-02-23T04:59:32.955885Z,1.0000,ok
+9528,"Theme: travel classification regression-suite qa pt-br; Domain: classification-qa; Persona: platform engineer; Task: benchmarking; Format: qa; Language: PT_BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9528-245738.",travel classification regression-suite qa pt-br,detailed,commercial,2026-02-23T04:59:32.955885Z,1.0000,ok
+9529,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT_BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9529-545667.",travel classification regression-suite qa pt-br,production-ready,commercial,2026-02-23T04:59:32.955885Z,1.0000,ok
+9530,"Theme: travel classification regression-suite qa pt-br; Domain: classification-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: 9530-603697.",travel classification regression-suite qa pt-br,stylized,benchmark-grade,2026-02-23T04:59:32.955885Z,1.0000,ok
+9531,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: PT_BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9531-923548.",travel classification regression-suite qa pt-br,production-ready,benchmark-grade,2026-02-23T04:59:32.955885Z,1.0000,ok
+9532,"Theme: travel classification regression-suite qa pt-br; Domain: classification-qa; Persona: ml engineer; Task: quality-check; Format: qa; Language: PT_BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9532-830343.",travel classification regression-suite qa pt-br,stylized,consistent,2026-02-23T04:59:32.955885Z,1.0000,ok
+9533,"Theme: travel classification regression-suite qa pt-br; Domain: classification; 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: 9533-134953.",travel classification regression-suite qa pt-br,production-ready,premium,2026-02-23T04:59:32.955885Z,1.0000,ok
+9534,"Theme: travel classification regression-suite qa pt-br; Domain: classification-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: 9534-587282.",travel classification regression-suite qa pt-br,clean,high-precision,2026-02-23T04:59:32.955885Z,1.0000,ok
+9535,"Theme: travel classification regression-suite qa pt-br; Domain: classification-production; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9535-687269.",travel classification regression-suite qa pt-br,stylized,premium,2026-02-23T04:59:32.955885Z,1.0000,ok
+9536,"Theme: travel classification regression-suite qa pt-br; Domain: classification-qa; 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: 9536-347349.",travel classification regression-suite qa pt-br,cinematic,premium,2026-02-23T04:59:32.955885Z,1.0000,ok
+9537,"Theme: travel classification regression-suite qa pt-br; Domain: classification-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: 9537-935716.",travel classification regression-suite qa pt-br,detailed,benchmark-grade,2026-02-23T04:59:32.955885Z,1.0000,ok
+9538,"Theme: travel classification regression-suite qa pt-br; Domain: classification-production; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9538-972975.",travel classification regression-suite qa pt-br,stylized,consistent,2026-02-23T04:59:32.955885Z,1.0000,ok
+9539,"Theme: travel classification regression-suite qa pt-br; Domain: classification-production; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT_BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9539-534156.",travel classification regression-suite qa pt-br,production-ready,benchmark-grade,2026-02-23T04:59:32.955885Z,1.0000,ok
+9540,"Theme: travel classification regression-suite qa pt-br; Domain: classification-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: 9540-948940.",travel classification regression-suite qa pt-br,cinematic,consistent,2026-02-23T04:59:32.955885Z,1.0000,ok
+9541,"Theme: travel classification regression-suite qa pt-br; Domain: classification-production; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9541-922752.",travel classification regression-suite qa pt-br,cinematic,premium,2026-02-23T04:59:32.955885Z,1.0000,ok
+9542,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9542-374989.",travel classification regression-suite qa pt-br,cinematic,consistent,2026-02-23T04:59:32.955885Z,1.0000,ok
+9543,"Theme: travel classification regression-suite qa pt-br; Domain: classification-production; Persona: ml engineer; Task: robustness-check; Format: qa; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9543-962376.",travel classification regression-suite qa pt-br,clean,consistent,2026-02-23T04:59:32.955885Z,1.0000,ok
+9544,"Theme: travel classification regression-suite qa pt-br; Domain: classification-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: 9544-714149.",travel classification regression-suite qa pt-br,clean,commercial,2026-02-23T04:59:32.955885Z,1.0000,ok
+9545,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9545-423117.",travel classification regression-suite qa pt-br,stylized,consistent,2026-02-23T04:59:32.955885Z,1.0000,ok
+9546,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: PT_BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9546-689051.",travel classification regression-suite qa pt-br,minimal,premium,2026-02-23T04:59:32.955885Z,1.0000,ok
+9547,"Theme: travel classification regression-suite qa pt-br; Domain: classification-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: 9547-545050.",travel classification regression-suite qa pt-br,minimal,consistent,2026-02-23T04:59:32.955885Z,1.0000,ok
+9548,"Theme: travel classification regression-suite qa pt-br; Domain: classification-production; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9548-164570.",travel classification regression-suite qa pt-br,stylized,consistent,2026-02-23T04:59:32.955885Z,1.0000,ok
+9549,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9549-364316.",travel classification regression-suite qa pt-br,clean,commercial,2026-02-23T04:59:32.955885Z,1.0000,ok
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+9555,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; Persona: ml engineer; Task: grounding-check; Format: qa; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9555-529740.",travel classification regression-suite qa pt-br,cinematic,consistent,2026-02-23T04:59:32.955885Z,1.0000,ok
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+9570,"Theme: travel classification regression-suite qa pt-br; Domain: classification-production; Persona: platform engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9570-951762.",travel classification regression-suite qa pt-br,minimal,premium,2026-02-23T04:59:32.955885Z,1.0000,ok
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+9573,"Theme: travel classification regression-suite qa pt-br; Domain: classification; 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: 9573-222177.",travel classification regression-suite qa pt-br,cinematic,benchmark-grade,2026-02-23T04:59:32.955885Z,1.0000,ok
+9574,"Theme: travel classification regression-suite qa pt-br; Domain: classification-production; Persona: data scientist; Task: grounding-check; Format: qa; Language: PT_BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9574-891413.",travel classification regression-suite qa pt-br,production-ready,consistent,2026-02-23T04:59:32.955885Z,1.0000,ok
+9575,"Theme: travel classification regression-suite qa pt-br; Domain: classification-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: 9575-548599.",travel classification regression-suite qa pt-br,minimal,high-precision,2026-02-23T04:59:32.955885Z,1.0000,ok
+9576,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: PT_BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9576-418029.",travel classification regression-suite qa pt-br,production-ready,premium,2026-02-23T04:59:32.955885Z,1.0000,ok
+9577,"Theme: travel classification regression-suite qa pt-br; Domain: classification-production; Persona: ai researcher; Task: quality-check; Format: qa; Language: PT_BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9577-933749.",travel classification regression-suite qa pt-br,minimal,commercial,2026-02-23T04:59:32.955885Z,1.0000,ok
+9578,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: PT_BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9578-872984.",travel classification regression-suite qa pt-br,clean,high-precision,2026-02-23T04:59:32.955885Z,1.0000,ok
+9579,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; 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: 9579-662158.",travel classification regression-suite qa pt-br,cinematic,high-precision,2026-02-23T04:59:32.955885Z,1.0000,ok
+9580,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; Persona: ai researcher; Task: robustness-check; Format: qa; Language: EN-US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9580-960962.",travel classification regression-suite qa pt-br,minimal,consistent,2026-02-23T04:59:32.955885Z,1.0000,ok
+9581,"Theme: travel classification regression-suite qa pt-br; Domain: classification-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: 9581-149862.",travel classification regression-suite qa pt-br,production-ready,consistent,2026-02-23T04:59:32.955885Z,1.0000,ok
+9582,"Theme: travel classification regression-suite qa pt-br; Domain: classification-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: 9582-135455.",travel classification regression-suite qa pt-br,production-ready,commercial,2026-02-23T04:59:32.955885Z,1.0000,ok
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+9602,"Theme: travel classification regression-suite qa pt-br; Domain: classification-qa; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT_BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9602-506965.",travel classification regression-suite qa pt-br,clean,high-precision,2026-02-23T04:59:32.955885Z,1.0000,ok
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+9647,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9647-468921.",travel classification regression-suite qa pt-br,minimal,high-precision,2026-02-23T04:59:32.955885Z,1.0000,ok
+9648,"Theme: travel classification regression-suite qa pt-br; Domain: classification-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: 9648-607912.",travel classification regression-suite qa pt-br,detailed,consistent,2026-02-23T04:59:32.955885Z,1.0000,ok
+9649,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9649-337010.",travel classification regression-suite qa pt-br,detailed,benchmark-grade,2026-02-23T04:59:32.955885Z,1.0000,ok
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+9651,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9651-985801.",travel classification regression-suite qa pt-br,minimal,premium,2026-02-23T04:59:32.955885Z,1.0000,ok
+9652,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; Persona: data scientist; Task: grounding-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9652-648408.",travel classification regression-suite qa pt-br,detailed,commercial,2026-02-23T04:59:32.955885Z,1.0000,ok
+9653,"Theme: travel classification regression-suite qa pt-br; Domain: classification-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: 9653-796769.",travel classification regression-suite qa pt-br,stylized,consistent,2026-02-23T04:59:32.955885Z,1.0000,ok
+9654,"Theme: travel classification regression-suite qa pt-br; Domain: classification-production; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9654-504966.",travel classification regression-suite qa pt-br,minimal,consistent,2026-02-23T04:59:32.955885Z,1.0000,ok
+9655,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9655-310269.",travel classification regression-suite qa pt-br,production-ready,high-precision,2026-02-23T04:59:32.955885Z,1.0000,ok
+9656,"Theme: travel classification regression-suite qa pt-br; Domain: classification-production; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: PT_BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9656-694298.",travel classification regression-suite qa pt-br,detailed,premium,2026-02-23T04:59:32.955885Z,1.0000,ok
+9657,"Theme: travel classification regression-suite qa pt-br; Domain: classification-qa; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9657-175044.",travel classification regression-suite qa pt-br,cinematic,premium,2026-02-23T04:59:32.955885Z,1.0000,ok
+9658,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: ml engineer; Task: grounding-check; Format: qa; Language: PT_BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9658-491444.",travel classification regression-suite qa pt-br,detailed,high-precision,2026-02-23T04:59:32.955885Z,1.0000,ok
+9659,"Theme: travel classification regression-suite qa pt-br; Domain: classification-qa; Persona: platform engineer; Task: grounding-check; Format: qa; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9659-809559.",travel classification regression-suite qa pt-br,cinematic,premium,2026-02-23T04:59:32.955885Z,1.0000,ok
+9660,"Theme: travel classification regression-suite qa pt-br; Domain: classification; 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: 9660-514744.",travel classification regression-suite qa pt-br,cinematic,commercial,2026-02-23T04:59:32.955885Z,1.0000,ok
+9661,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; Persona: ml engineer; Task: robustness-check; Format: qa; Language: PT_BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9661-970533.",travel classification regression-suite qa pt-br,minimal,commercial,2026-02-23T04:59:32.955885Z,1.0000,ok
+9662,"Theme: travel classification regression-suite qa pt-br; Domain: classification-production; Persona: data scientist; Task: quality-check; Format: qa; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9662-935689.",travel classification regression-suite qa pt-br,stylized,high-precision,2026-02-23T04:59:32.955885Z,1.0000,ok
+9663,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9663-592453.",travel classification regression-suite qa pt-br,minimal,benchmark-grade,2026-02-23T04:59:32.955885Z,1.0000,ok
+9664,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; Persona: ml engineer; Task: robustness-check; Format: qa; Language: EN-US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9664-561646.",travel classification regression-suite qa pt-br,cinematic,premium,2026-02-23T04:59:32.955885Z,1.0000,ok
+9665,"Theme: travel classification regression-suite qa pt-br; Domain: classification-qa; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9665-627948.",travel classification regression-suite qa pt-br,cinematic,premium,2026-02-23T04:59:32.955885Z,1.0000,ok
+9666,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; Persona: data scientist; Task: quality-check; Format: qa; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9666-188100.",travel classification regression-suite qa pt-br,production-ready,consistent,2026-02-23T04:59:32.955885Z,1.0000,ok
+9667,"Theme: travel classification regression-suite qa pt-br; Domain: classification-qa; Persona: data scientist; Task: benchmarking; Format: long-context; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9667-796948.",travel classification regression-suite qa pt-br,clean,premium,2026-02-23T04:59:32.955885Z,1.0000,ok
+9668,"Theme: travel classification regression-suite qa pt-br; Domain: classification-qa; Persona: data scientist; Task: benchmarking; Format: long-context; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9668-489046.",travel classification regression-suite qa pt-br,production-ready,commercial,2026-02-23T04:59:32.955885Z,1.0000,ok
+9669,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9669-197559.",travel classification regression-suite qa pt-br,detailed,benchmark-grade,2026-02-23T04:59:32.955885Z,1.0000,ok
+9670,"Theme: travel classification regression-suite qa pt-br; Domain: classification-qa; Persona: data scientist; Task: benchmarking; Format: long-context; Language: PT_BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9670-679073.",travel classification regression-suite qa pt-br,detailed,consistent,2026-02-23T04:59:32.955885Z,1.0000,ok
+9671,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: ml engineer; Task: benchmarking; Format: qa; Language: PT_BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9671-377701.",travel classification regression-suite qa pt-br,minimal,commercial,2026-02-23T04:59:32.955885Z,1.0000,ok
+9672,"Theme: travel classification regression-suite qa pt-br; Domain: classification-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: 9672-673541.",travel classification regression-suite qa pt-br,production-ready,premium,2026-02-23T04:59:32.955885Z,1.0000,ok
+9673,"Theme: travel classification regression-suite qa pt-br; Domain: classification-production; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: PT_BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9673-438032.",travel classification regression-suite qa pt-br,minimal,premium,2026-02-23T04:59:32.955885Z,1.0000,ok
+9674,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: ml engineer; Task: grounding-check; Format: qa; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9674-196629.",travel classification regression-suite qa pt-br,stylized,benchmark-grade,2026-02-23T04:59:32.955885Z,1.0000,ok
+9675,"Theme: travel classification regression-suite qa pt-br; Domain: classification-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: 9675-995479.",travel classification regression-suite qa pt-br,detailed,premium,2026-02-23T04:59:32.955885Z,1.0000,ok
+9676,"Theme: travel classification regression-suite qa pt-br; Domain: classification-production; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: PT_BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9676-917225.",travel classification regression-suite qa pt-br,production-ready,premium,2026-02-23T04:59:32.955885Z,1.0000,ok
+9677,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: ml engineer; Task: quality-check; Format: qa; Language: PT_BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9677-251282.",travel classification regression-suite qa pt-br,clean,premium,2026-02-23T04:59:32.955885Z,1.0000,ok
+9678,"Theme: travel classification regression-suite qa pt-br; Domain: classification-qa; 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: 9678-911349.",travel classification regression-suite qa pt-br,production-ready,premium,2026-02-23T04:59:32.955885Z,1.0000,ok
+9679,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9679-681199.",travel classification regression-suite qa pt-br,clean,consistent,2026-02-23T04:59:32.955885Z,1.0000,ok
+9680,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; Persona: ml engineer; Task: robustness-check; Format: qa; Language: PT_BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9680-663831.",travel classification regression-suite qa pt-br,minimal,premium,2026-02-23T04:59:32.955885Z,1.0000,ok
+9681,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: data scientist; Task: benchmarking; Format: long-context; Language: PT_BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9681-285986.",travel classification regression-suite qa pt-br,stylized,consistent,2026-02-23T04:59:32.955885Z,1.0000,ok
+9682,"Theme: travel classification regression-suite qa pt-br; Domain: classification-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: 9682-775981.",travel classification regression-suite qa pt-br,production-ready,consistent,2026-02-23T04:59:32.955885Z,1.0000,ok
+9683,"Theme: travel classification regression-suite qa pt-br; Domain: classification-production; Persona: data scientist; Task: quality-check; Format: qa; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9683-609605.",travel classification regression-suite qa pt-br,detailed,consistent,2026-02-23T04:59:32.955885Z,1.0000,ok
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+9686,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; 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: 9686-457441.",travel classification regression-suite qa pt-br,clean,consistent,2026-02-23T04:59:32.955885Z,1.0000,ok
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+9691,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9691-550893.",travel classification regression-suite qa pt-br,production-ready,high-precision,2026-02-23T04:59:32.955885Z,1.0000,ok
+9692,"Theme: travel classification regression-suite qa pt-br; Domain: classification-production; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: PT_BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9692-821158.",travel classification regression-suite qa pt-br,stylized,benchmark-grade,2026-02-23T04:59:32.955885Z,1.0000,ok
+9693,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9693-944541.",travel classification regression-suite qa pt-br,minimal,premium,2026-02-23T04:59:32.955885Z,1.0000,ok
+9694,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9694-121611.",travel classification regression-suite qa pt-br,detailed,high-precision,2026-02-23T04:59:32.955885Z,1.0000,ok
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+9697,"Theme: travel classification regression-suite qa pt-br; Domain: classification-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: 9697-583454.",travel classification regression-suite qa pt-br,minimal,high-precision,2026-02-23T04:59:32.955885Z,1.0000,ok
+9698,"Theme: travel classification regression-suite qa pt-br; Domain: classification-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: 9698-878337.",travel classification regression-suite qa pt-br,minimal,benchmark-grade,2026-02-23T04:59:32.955885Z,1.0000,ok
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+9702,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: data scientist; Task: grounding-check; Format: qa; Language: PT_BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9702-661473.",travel classification regression-suite qa pt-br,cinematic,premium,2026-02-23T04:59:32.955885Z,1.0000,ok
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+9704,"Theme: travel classification regression-suite qa pt-br; Domain: classification-production; Persona: ml engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9704-518347.",travel classification regression-suite qa pt-br,production-ready,consistent,2026-02-23T04:59:32.955885Z,1.0000,ok
+9705,"Theme: travel classification regression-suite qa pt-br; Domain: classification-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: 9705-612145.",travel classification regression-suite qa pt-br,clean,consistent,2026-02-23T04:59:32.955885Z,1.0000,ok
+9706,"Theme: travel classification regression-suite qa pt-br; Domain: classification-production; Persona: platform engineer; Task: robustness-check; Format: qa; Language: PT_BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9706-588005.",travel classification regression-suite qa pt-br,stylized,high-precision,2026-02-23T04:59:32.955885Z,1.0000,ok
+9707,"Theme: travel classification regression-suite qa pt-br; Domain: classification-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: 9707-731798.",travel classification regression-suite qa pt-br,stylized,high-precision,2026-02-23T04:59:32.955885Z,1.0000,ok
+9708,"Theme: travel classification regression-suite qa pt-br; Domain: classification-production; Persona: data scientist; Task: grounding-check; Format: qa; Language: PT_BR; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9708-303458.",travel classification regression-suite qa pt-br,minimal,premium,2026-02-23T04:59:32.955885Z,1.0000,ok
+9709,"Theme: travel classification regression-suite qa pt-br; Domain: classification-production; Persona: ml engineer; Task: robustness-check; Format: qa; Language: PT_BR; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9709-769374.",travel classification regression-suite qa pt-br,stylized,commercial,2026-02-23T04:59:32.955885Z,1.0000,ok
+9710,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: PT_BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9710-369587.",travel classification regression-suite qa pt-br,cinematic,benchmark-grade,2026-02-23T04:59:32.955885Z,1.0000,ok
+9711,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; 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: 9711-398261.",travel classification regression-suite qa pt-br,clean,benchmark-grade,2026-02-23T04:59:32.955885Z,1.0000,ok
+9712,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9712-117592.",travel classification regression-suite qa pt-br,detailed,benchmark-grade,2026-02-23T04:59:32.955885Z,1.0000,ok
+9713,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; 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: 9713-996107.",travel classification regression-suite qa pt-br,production-ready,premium,2026-02-23T04:59:32.955885Z,1.0000,ok
+9714,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: data scientist; Task: benchmarking; Format: qa; Language: PT_BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9714-358108.",travel classification regression-suite qa pt-br,detailed,commercial,2026-02-23T04:59:32.955885Z,1.0000,ok
+9715,"Theme: travel classification regression-suite qa pt-br; Domain: classification-qa; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9715-224281.",travel classification regression-suite qa pt-br,detailed,commercial,2026-02-23T04:59:32.955885Z,1.0000,ok
+9716,"Theme: travel classification regression-suite qa pt-br; Domain: classification; 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: 9716-433151.",travel classification regression-suite qa pt-br,detailed,consistent,2026-02-23T04:59:32.955885Z,1.0000,ok
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+9718,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9718-617630.",travel classification regression-suite qa pt-br,detailed,consistent,2026-02-23T04:59:32.955885Z,1.0000,ok
+9719,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: data scientist; Task: robustness-check; Format: qa; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9719-910257.",travel classification regression-suite qa pt-br,minimal,commercial,2026-02-23T04:59:32.955885Z,1.0000,ok
+9720,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9720-647731.",travel classification regression-suite qa pt-br,cinematic,premium,2026-02-23T04:59:32.955885Z,1.0000,ok
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+9722,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: PT_BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9722-935071.",travel classification regression-suite qa pt-br,stylized,consistent,2026-02-23T04:59:32.955885Z,1.0000,ok
+9723,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9723-557211.",travel classification regression-suite qa pt-br,detailed,high-precision,2026-02-23T04:59:32.955885Z,1.0000,ok
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+9729,"Theme: travel classification regression-suite qa pt-br; Domain: classification-production; Persona: ml engineer; Task: robustness-check; Format: qa; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9729-347395.",travel classification regression-suite qa pt-br,minimal,high-precision,2026-02-23T04:59:32.955885Z,1.0000,ok
+9730,"Theme: travel classification regression-suite qa pt-br; Domain: classification-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: 9730-950651.",travel classification regression-suite qa pt-br,clean,consistent,2026-02-23T04:59:32.955885Z,1.0000,ok
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+9732,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT_BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9732-956439.",travel classification regression-suite qa pt-br,production-ready,commercial,2026-02-23T04:59:32.955885Z,1.0000,ok
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+9734,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: platform engineer; Task: benchmarking; Format: qa; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9734-906475.",travel classification regression-suite qa pt-br,stylized,high-precision,2026-02-23T04:59:32.955885Z,1.0000,ok
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+9779,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9779-574555.",travel classification regression-suite qa pt-br,detailed,consistent,2026-02-23T04:59:32.955885Z,1.0000,ok
+9780,"Theme: travel classification regression-suite qa pt-br; Domain: classification-production; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9780-383306.",travel classification regression-suite qa pt-br,production-ready,high-precision,2026-02-23T04:59:32.955885Z,1.0000,ok
+9781,"Theme: travel classification regression-suite qa pt-br; Domain: classification-production; Persona: ai researcher; Task: grounding-check; Format: qa; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9781-448500.",travel classification regression-suite qa pt-br,clean,consistent,2026-02-23T04:59:32.955885Z,1.0000,ok
+9782,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9782-914078.",travel classification regression-suite qa pt-br,clean,high-precision,2026-02-23T04:59:32.955885Z,1.0000,ok
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+9802,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: ml engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9802-205060.",travel classification regression-suite qa pt-br,production-ready,premium,2026-02-23T04:59:32.955885Z,1.0000,ok
+9803,"Theme: travel classification regression-suite qa pt-br; Domain: classification-production; Persona: platform engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9803-118812.",travel classification regression-suite qa pt-br,minimal,consistent,2026-02-23T04:59:32.955885Z,1.0000,ok
+9804,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9804-236658.",travel classification regression-suite qa pt-br,stylized,commercial,2026-02-23T04:59:32.955885Z,1.0000,ok
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+9808,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9808-404001.",travel classification regression-suite qa pt-br,stylized,benchmark-grade,2026-02-23T04:59:32.955885Z,1.0000,ok
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+9846,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT_BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9846-834275.",travel classification regression-suite qa pt-br,detailed,benchmark-grade,2026-02-23T04:59:32.955885Z,1.0000,ok
+9847,"Theme: travel classification regression-suite qa pt-br; Domain: classification-qa; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9847-874888.",travel classification regression-suite qa pt-br,detailed,high-precision,2026-02-23T04:59:32.955885Z,1.0000,ok
+9848,"Theme: travel classification regression-suite qa pt-br; Domain: classification-qa; Persona: data scientist; Task: robustness-check; Format: qa; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9848-848936.",travel classification regression-suite qa pt-br,detailed,consistent,2026-02-23T04:59:32.955885Z,1.0000,ok
+9849,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT_BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9849-996747.",travel classification regression-suite qa pt-br,cinematic,consistent,2026-02-23T04:59:32.955885Z,1.0000,ok
+9850,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT_BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9850-959170.",travel classification regression-suite qa pt-br,clean,benchmark-grade,2026-02-23T04:59:32.955885Z,1.0000,ok
+9851,"Theme: travel classification regression-suite qa pt-br; Domain: classification-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: 9851-138795.",travel classification regression-suite qa pt-br,minimal,consistent,2026-02-23T04:59:32.955885Z,1.0000,ok
+9852,"Theme: travel classification regression-suite qa pt-br; Domain: classification-qa; Persona: data scientist; Task: robustness-check; Format: long-context; Language: PT_BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9852-310799.",travel classification regression-suite qa pt-br,detailed,premium,2026-02-23T04:59:32.955885Z,1.0000,ok
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+9857,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; Persona: ml engineer; Task: quality-check; Format: qa; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9857-995811.",travel classification regression-suite qa pt-br,clean,premium,2026-02-23T04:59:32.955885Z,1.0000,ok
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+9859,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: ml engineer; Task: quality-check; Format: qa; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9859-997275.",travel classification regression-suite qa pt-br,minimal,benchmark-grade,2026-02-23T04:59:32.955885Z,1.0000,ok
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+9861,"Theme: travel classification regression-suite qa pt-br; Domain: classification; 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: 9861-257214.",travel classification regression-suite qa pt-br,minimal,consistent,2026-02-23T04:59:32.955885Z,1.0000,ok
+9862,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9862-375830.",travel classification regression-suite qa pt-br,detailed,commercial,2026-02-23T04:59:32.955885Z,1.0000,ok
+9863,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: PT_BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9863-978725.",travel classification regression-suite qa pt-br,detailed,premium,2026-02-23T04:59:32.955885Z,1.0000,ok
+9864,"Theme: travel classification regression-suite qa pt-br; Domain: classification-production; Persona: platform engineer; Task: quality-check; Format: qa; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9864-798529.",travel classification regression-suite qa pt-br,clean,consistent,2026-02-23T04:59:32.955885Z,1.0000,ok
+9865,"Theme: travel classification regression-suite qa pt-br; Domain: classification-qa; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9865-489329.",travel classification regression-suite qa pt-br,clean,premium,2026-02-23T04:59:32.955885Z,1.0000,ok
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+9867,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9867-265359.",travel classification regression-suite qa pt-br,stylized,premium,2026-02-23T04:59:32.955885Z,1.0000,ok
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+9869,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9869-886846.",travel classification regression-suite qa pt-br,detailed,premium,2026-02-23T04:59:32.955885Z,1.0000,ok
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+9871,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: PT_BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9871-589617.",travel classification regression-suite qa pt-br,production-ready,benchmark-grade,2026-02-23T04:59:32.955885Z,1.0000,ok
+9872,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9872-862354.",travel classification regression-suite qa pt-br,production-ready,benchmark-grade,2026-02-23T04:59:32.955885Z,1.0000,ok
+9873,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; Persona: ml engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9873-680513.",travel classification regression-suite qa pt-br,production-ready,benchmark-grade,2026-02-23T04:59:32.955885Z,1.0000,ok
+9874,"Theme: travel classification regression-suite qa pt-br; Domain: classification-production; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9874-753324.",travel classification regression-suite qa pt-br,clean,benchmark-grade,2026-02-23T04:59:32.955885Z,1.0000,ok
+9875,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9875-503654.",travel classification regression-suite qa pt-br,minimal,high-precision,2026-02-23T04:59:32.955885Z,1.0000,ok
+9876,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9876-228416.",travel classification regression-suite qa pt-br,detailed,consistent,2026-02-23T04:59:32.955885Z,1.0000,ok
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+9878,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9878-981511.",travel classification regression-suite qa pt-br,cinematic,consistent,2026-02-23T04:59:32.955885Z,1.0000,ok
+9879,"Theme: travel classification regression-suite qa pt-br; Domain: classification-qa; Persona: data scientist; Task: benchmarking; Format: qa; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9879-678940.",travel classification regression-suite qa pt-br,clean,consistent,2026-02-23T04:59:32.955885Z,1.0000,ok
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+9881,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: PT_BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9881-793588.",travel classification regression-suite qa pt-br,minimal,premium,2026-02-23T04:59:32.955885Z,1.0000,ok
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+9884,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: data scientist; Task: benchmarking; Format: long-context; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9884-225570.",travel classification regression-suite qa pt-br,clean,commercial,2026-02-23T04:59:32.955885Z,1.0000,ok
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+9908,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT_BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9908-638488.",travel classification regression-suite qa pt-br,detailed,consistent,2026-02-23T04:59:32.955885Z,1.0000,ok
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+9910,"Theme: travel classification regression-suite qa pt-br; Domain: classification-qa; Persona: platform engineer; Task: robustness-check; Format: qa; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9910-590151.",travel classification regression-suite qa pt-br,clean,premium,2026-02-23T04:59:32.955885Z,1.0000,ok
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+9913,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9913-686457.",travel classification regression-suite qa pt-br,detailed,commercial,2026-02-23T04:59:32.955885Z,1.0000,ok
+9914,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: PT_BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9914-424473.",travel classification regression-suite qa pt-br,stylized,consistent,2026-02-23T04:59:32.955885Z,1.0000,ok
+9915,"Theme: travel classification regression-suite qa pt-br; Domain: classification-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: 9915-127736.",travel classification regression-suite qa pt-br,cinematic,premium,2026-02-23T04:59:32.955885Z,1.0000,ok
+9916,"Theme: travel classification regression-suite qa pt-br; Domain: classification-production; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9916-275564.",travel classification regression-suite qa pt-br,minimal,high-precision,2026-02-23T04:59:32.955885Z,1.0000,ok
+9917,"Theme: travel classification regression-suite qa pt-br; Domain: classification-production; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9917-590899.",travel classification regression-suite qa pt-br,detailed,premium,2026-02-23T04:59:32.955885Z,1.0000,ok
+9918,"Theme: travel classification regression-suite qa pt-br; Domain: classification-production; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: PT_BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9918-920007.",travel classification regression-suite qa pt-br,production-ready,commercial,2026-02-23T04:59:32.955885Z,1.0000,ok
+9919,"Theme: travel classification regression-suite qa pt-br; Domain: classification-qa; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT_BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9919-441978.",travel classification regression-suite qa pt-br,minimal,commercial,2026-02-23T04:59:32.955885Z,1.0000,ok
+9920,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9920-748760.",travel classification regression-suite qa pt-br,cinematic,high-precision,2026-02-23T04:59:32.955885Z,1.0000,ok
+9921,"Theme: travel classification regression-suite qa pt-br; Domain: classification-production; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9921-951719.",travel classification regression-suite qa pt-br,detailed,consistent,2026-02-23T04:59:32.955885Z,1.0000,ok
+9922,"Theme: travel classification regression-suite qa pt-br; Domain: classification-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: 9922-882840.",travel classification regression-suite qa pt-br,cinematic,commercial,2026-02-23T04:59:32.955885Z,1.0000,ok
+9923,"Theme: travel classification regression-suite qa pt-br; Domain: classification-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: 9923-475510.",travel classification regression-suite qa pt-br,stylized,high-precision,2026-02-23T04:59:32.955885Z,1.0000,ok
+9924,"Theme: travel classification regression-suite qa pt-br; Domain: classification-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: 9924-897312.",travel classification regression-suite qa pt-br,production-ready,commercial,2026-02-23T04:59:32.955885Z,1.0000,ok
+9925,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9925-236489.",travel classification regression-suite qa pt-br,clean,commercial,2026-02-23T04:59:32.955885Z,1.0000,ok
+9926,"Theme: travel classification regression-suite qa pt-br; Domain: classification-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: 9926-809294.",travel classification regression-suite qa pt-br,detailed,commercial,2026-02-23T04:59:32.955885Z,1.0000,ok
+9927,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9927-799056.",travel classification regression-suite qa pt-br,production-ready,commercial,2026-02-23T04:59:32.955885Z,1.0000,ok
+9928,"Theme: travel classification regression-suite qa pt-br; Domain: classification-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: 9928-926210.",travel classification regression-suite qa pt-br,production-ready,consistent,2026-02-23T04:59:32.955885Z,1.0000,ok
+9929,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: PT_BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9929-509903.",travel classification regression-suite qa pt-br,clean,high-precision,2026-02-23T04:59:32.955885Z,1.0000,ok
+9930,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT_BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9930-946810.",travel classification regression-suite qa pt-br,clean,premium,2026-02-23T04:59:32.955885Z,1.0000,ok
+9931,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; 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: 9931-978507.",travel classification regression-suite qa pt-br,cinematic,consistent,2026-02-23T04:59:32.955885Z,1.0000,ok
+9932,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; Persona: ml engineer; Task: quality-check; Format: long-context; Language: PT_BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9932-247650.",travel classification regression-suite qa pt-br,stylized,commercial,2026-02-23T04:59:32.955885Z,1.0000,ok
+9933,"Theme: travel classification regression-suite qa pt-br; Domain: classification-qa; Persona: ai researcher; Task: quality-check; Format: long-context; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9933-599736.",travel classification regression-suite qa pt-br,detailed,consistent,2026-02-23T04:59:32.955885Z,1.0000,ok
+9934,"Theme: travel classification regression-suite qa pt-br; Domain: classification-qa; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9934-761844.",travel classification regression-suite qa pt-br,minimal,high-precision,2026-02-23T04:59:32.955885Z,1.0000,ok
+9935,"Theme: travel classification regression-suite qa pt-br; Domain: classification-qa; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9935-454900.",travel classification regression-suite qa pt-br,cinematic,commercial,2026-02-23T04:59:32.955885Z,1.0000,ok
+9936,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; Persona: data scientist; Task: robustness-check; Format: qa; Language: PT_BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9936-456506.",travel classification regression-suite qa pt-br,detailed,benchmark-grade,2026-02-23T04:59:32.955885Z,1.0000,ok
+9937,"Theme: travel classification regression-suite qa pt-br; Domain: classification-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: 9937-757474.",travel classification regression-suite qa pt-br,detailed,premium,2026-02-23T04:59:32.955885Z,1.0000,ok
+9938,"Theme: travel classification regression-suite qa pt-br; Domain: classification-qa; Persona: data scientist; Task: quality-check; Format: qa; Language: EN-US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9938-902014.",travel classification regression-suite qa pt-br,detailed,high-precision,2026-02-23T04:59:32.955885Z,1.0000,ok
+9939,"Theme: travel classification regression-suite qa pt-br; Domain: classification-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: 9939-431506.",travel classification regression-suite qa pt-br,cinematic,premium,2026-02-23T04:59:32.955885Z,1.0000,ok
+9940,"Theme: travel classification regression-suite qa pt-br; Domain: classification-qa; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: PT_BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9940-595848.",travel classification regression-suite qa pt-br,minimal,commercial,2026-02-23T04:59:32.955885Z,1.0000,ok
+9941,"Theme: travel classification regression-suite qa pt-br; Domain: classification-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: 9941-485611.",travel classification regression-suite qa pt-br,stylized,commercial,2026-02-23T04:59:32.955885Z,1.0000,ok
+9942,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; Persona: data scientist; Task: robustness-check; Format: qa; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9942-737839.",travel classification regression-suite qa pt-br,cinematic,consistent,2026-02-23T04:59:32.955885Z,1.0000,ok
+9943,"Theme: travel classification regression-suite qa pt-br; Domain: classification-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: 9943-519864.",travel classification regression-suite qa pt-br,cinematic,premium,2026-02-23T04:59:32.955885Z,1.0000,ok
+9944,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9944-489464.",travel classification regression-suite qa pt-br,detailed,commercial,2026-02-23T04:59:32.955885Z,1.0000,ok
+9945,"Theme: travel classification regression-suite qa pt-br; Domain: classification-qa; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9945-475601.",travel classification regression-suite qa pt-br,stylized,high-precision,2026-02-23T04:59:32.955885Z,1.0000,ok
+9946,"Theme: travel classification regression-suite qa pt-br; Domain: classification-qa; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9946-427010.",travel classification regression-suite qa pt-br,stylized,benchmark-grade,2026-02-23T04:59:32.955885Z,1.0000,ok
+9947,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; 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: 9947-420857.",travel classification regression-suite qa pt-br,clean,consistent,2026-02-23T04:59:32.955885Z,1.0000,ok
+9948,"Theme: travel classification regression-suite qa pt-br; Domain: classification-production; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9948-144870.",travel classification regression-suite qa pt-br,production-ready,high-precision,2026-02-23T04:59:32.955885Z,1.0000,ok
+9949,"Theme: travel classification regression-suite qa pt-br; Domain: classification; 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: 9949-750895.",travel classification regression-suite qa pt-br,stylized,premium,2026-02-23T04:59:32.955885Z,1.0000,ok
+9950,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; 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: 9950-836729.",travel classification regression-suite qa pt-br,minimal,benchmark-grade,2026-02-23T04:59:32.955885Z,1.0000,ok
+9951,"Theme: travel classification regression-suite qa pt-br; Domain: classification-production; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT_BR; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9951-265899.",travel classification regression-suite qa pt-br,cinematic,benchmark-grade,2026-02-23T04:59:32.955885Z,1.0000,ok
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+9959,"Theme: travel classification regression-suite qa pt-br; Domain: classification-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: 9959-357911.",travel classification regression-suite qa pt-br,stylized,consistent,2026-02-23T04:59:32.955885Z,1.0000,ok
+9960,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: PT_BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9960-936065.",travel classification regression-suite qa pt-br,stylized,commercial,2026-02-23T04:59:32.955885Z,1.0000,ok
+9961,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT_BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9961-479221.",travel classification regression-suite qa pt-br,production-ready,high-precision,2026-02-23T04:59:32.955885Z,1.0000,ok
+9962,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9962-401882.",travel classification regression-suite qa pt-br,cinematic,premium,2026-02-23T04:59:32.955885Z,1.0000,ok
+9963,"Theme: travel classification regression-suite qa pt-br; Domain: classification; 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: 9963-624518.",travel classification regression-suite qa pt-br,stylized,consistent,2026-02-23T04:59:32.955885Z,1.0000,ok
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+9966,"Theme: travel classification regression-suite qa pt-br; Domain: classification-production; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: PT_BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9966-998417.",travel classification regression-suite qa pt-br,detailed,commercial,2026-02-23T04:59:32.955885Z,1.0000,ok
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+9970,"Theme: travel classification regression-suite qa pt-br; Domain: classification; 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: 9970-260245.",travel classification regression-suite qa pt-br,clean,consistent,2026-02-23T04:59:32.955885Z,1.0000,ok
+9971,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; 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: 9971-133527.",travel classification regression-suite qa pt-br,stylized,high-precision,2026-02-23T04:59:32.955885Z,1.0000,ok
+9972,"Theme: travel classification regression-suite qa pt-br; Domain: classification; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: PT_BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9972-630915.",travel classification regression-suite qa pt-br,minimal,commercial,2026-02-23T04:59:32.955885Z,1.0000,ok
+9973,"Theme: travel classification regression-suite qa pt-br; Domain: classification-qa; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9973-864704.",travel classification regression-suite qa pt-br,stylized,consistent,2026-02-23T04:59:32.955885Z,1.0000,ok
+9974,"Theme: travel classification regression-suite qa pt-br; Domain: classification-production; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: PT_BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9974-579820.",travel classification regression-suite qa pt-br,production-ready,premium,2026-02-23T04:59:32.955885Z,1.0000,ok
+9975,"Theme: travel classification regression-suite qa pt-br; Domain: classification-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: 9975-583240.",travel classification regression-suite qa pt-br,stylized,commercial,2026-02-23T04:59:32.955885Z,1.0000,ok
+9976,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; Persona: data scientist; Task: benchmarking; Format: long-context; Language: PT_BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9976-584985.",travel classification regression-suite qa pt-br,detailed,premium,2026-02-23T04:59:32.955885Z,1.0000,ok
+9977,"Theme: travel classification regression-suite qa pt-br; Domain: classification; 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: 9977-357966.",travel classification regression-suite qa pt-br,detailed,high-precision,2026-02-23T04:59:32.955885Z,1.0000,ok
+9978,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9978-837634.",travel classification regression-suite qa pt-br,detailed,consistent,2026-02-23T04:59:32.955885Z,1.0000,ok
+9979,"Theme: travel classification regression-suite qa pt-br; Domain: travel-classification; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9979-923797.",travel classification regression-suite qa pt-br,minimal,premium,2026-02-23T04:59:32.955885Z,1.0000,ok
+9980,"Theme: travel classification regression-suite qa pt-br; Domain: classification-qa; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9980-196365.",travel classification regression-suite qa pt-br,production-ready,consistent,2026-02-23T04:59:32.955885Z,1.0000,ok
+9981,"Theme: travel classification regression-suite qa pt-br; Domain: classification-production; Persona: platform engineer; Task: robustness-check; Format: qa; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9981-313733.",travel classification regression-suite qa pt-br,production-ready,consistent,2026-02-23T04:59:32.955885Z,1.0000,ok
+9982,"Theme: travel classification regression-suite qa pt-br; Domain: classification-qa; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: PT_BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9982-349123.",travel classification regression-suite qa pt-br,cinematic,high-precision,2026-02-23T04:59:32.955885Z,1.0000,ok
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